To see the other types of publications on this topic, follow the link: Flight control – Data processing.
Journal articles on the topic 'Flight control – Data processing'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Flight control – Data processing.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Dharamvir and K. S. Hemanth. "Transformational Perceptive of Data Recorder for UAV Flight Automation Control System using Image Processing Techniques." Journal of Physics: Conference Series 2335, no. 1 (September 1, 2022): 012016. http://dx.doi.org/10.1088/1742-6596/2335/1/012016.
Full textAbstract:
Abstract Flight Data Recorders (FDRs) are readily available in the market, to be used on the Unmanned Aerial Vehicles (UAV) for onboard data recording. They have their own inbuilt sensors and characteristics and can be easily placed within the cockpit of the UAV. However, they have umpteen drawbacks. They do not have sufficient sampling rate for rapid and accurate flight automation, are either very bulky, or do not incorporate some of the necessary sensors required for post-flight analysis and are very costly. Hence, the need arises where the FDR needs to be designed to suit the requirements. We go about designing one such FDR. Our FDR incorporates a MicroStrain’s 3DM- GX1 Gyro Enhanced Orientation Sensor, a Texas Instrument’s GPS module and four servo motors each controlling the rudder, elevator, ailerons. The data from these devices are interpolated to increase the sampling rate and are simultaneously stored into a Secure Digital (SD) / Micro Memory Card (MMC) during the flight of the UAV. Greater sampling rates allow more rapid and accurate flight automation. SD/MMC cards allow faster and efficient data retrieval for post flight processing. Our FDR is designed to be compact, cheap and overcomes most of the drawbacks mentioned above. Therefore, we call this FDR as Smart Data Recorder(SDR).
2
Zámková, Martina, Martin Prokop, and Radek Stolín. "Factors Influencing Flight Delays of a European Airline." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 65, no. 5 (2017): 1799–807. http://dx.doi.org/10.11118/actaun201765051799.
Full textAbstract:
The main aim of the paper was to investigate factors influencing flight delays of a European airline. Besides the identification and analysis of those factors the paper offers possible suggestions on how to eliminate the delays. The research is based on data acquired over the period of time spanning from June to September in 2008 – 2014. Analysis of contingency tables, including Pearson’s chi‑squared test, has been used for data processing. The dependencies have been presented in graphical form by using correspondence maps. The proportion of delayed flights reaches approx. 50 % during nearly the entire monitored period only in September the proportion drops to 45 %. Flight delays are most frequently caused by delays of previous flights of the same plane. These previous delayed flights are the main culprit of long delays and the frequency of delay occurrence caused by this reason increases significantly during the day. Longer delays of flights appear also due to technical maintenance or aircraft defects. On the contrary other factors such as operational control and crew duty norms, air traffic control and airport limitations tend to cause rather shorter delays of flights with the air traffic control encountering more problems with coordination of flights in the early morning. The supply and service companies also manage to eliminate long delays.
3
Xiao, Yang, Shulin Dai, Chenfan Xiao, and Xinfeng Xu. "Research and Development of a Real-time UAV Flight Visualization Simulation System." Journal of Physics: Conference Series 2218, no. 1 (March 1, 2022): 012081. http://dx.doi.org/10.1088/1742-6596/2218/1/012081.
Full textAbstract:
Abstract On the premise of practical application, this paper describes the principle, technology and implementation methods of a real-time UAV flight visualization simulation system. The overall framework, hardware system composition, UAV flight model establishment, determination of flight control mode and control rate, design of 3D visual simulation system, management and processing of UAV flight state data are discussed, and finally, the actual application effect of the system is evaluated.
4
Chen, Nongtian, Youchao Sun, Zongpeng Wang, and Chong Peng. "Improved LS-SVM Method for Flight Data Fitting of Civil Aircraft Flying at High Plateau." Electronics 11, no. 10 (May 13, 2022): 1558. http://dx.doi.org/10.3390/electronics11101558.
Full textAbstract:
High-plateau flight safety is an important research hotspot in the field of civil aviation transportation safety science. Complete and accurate high-plateau flight data are beneficial for effectively assessing and improving the flight status of civil aviation aircrafts, and can play an important role in carrying out high-plateau operation safety risk analysis. Due to various reasons, such as low temperature and low pressure in the harsh environment of high-plateau flights, the abnormality or loss of the quick access recorder (QAR) data affects the flight data processing and analysis results to a certain extent. In order to effectively solve this problem, an improved least squares support vector machines method is proposed. Firstly, the entropy weight method is used to obtain the index weights. Secondly, the principal component analysis method is used for dimensionality reduction. Finally, the data are fitted and repaired by selecting appropriate eigenvalues through multiple tests based on the LS-SVM. In order to verify the effectiveness of this method, the QAR data related to multiple real plateau flights are used for testing and comparing with the improved method for verification. The fitting results show that the error measurement index mean absolute error of the average error accuracy is more than 90%, and the error index value equal coefficient reaches a high fit degree of 0.99, which proves that the improved least squares support vector machines machine learning model can fit and supplement the missing QAR data in the plateau area through historical flight data to effectively meet application needs.
5
Hryshchenko, Yurii, Maksym Zaliskyi, Svitlana Pavlova, Oleksandr Solomentsev, and Tatiana Fursenko. "Data Processing in the Pilot Training Process on the Integrated Aircraft Simulator." Electrical, Control and Communication Engineering 17, no. 1 (June 1, 2021): 67–76. http://dx.doi.org/10.2478/ecce-2021-0008.
Full textAbstract:
Abstract Flight safety is an integral part of air transportation. Flight accidents are highly unlikely to appear but most of them are caused by the human factor. The aircrew training system for abnormal operations relies on integrated aircraft simulator-based exercises. Crew needs to be trained not to degrade piloting technique quality when facing increased psychophysiological tension. Therefore, methods evaluating the characteristics of ergatic aircraft control systems, warning systems for deterioration due to failures in avionics systems, piloting technique quality, and abnormal operation algorithms are necessary. An analysis of the bank angle has revealed that there are hidden increased tension manifestations in the human operator expressed in the transition of the flight parameter variation from a stationary random process to deterministic fluctuations in the form of a sinusoid. The goal of the research is to increase the efficiency of pilots’ training using integrated aircraft simulators based on the design and implementation of statistical data processing algorithms. To achieve the goal of the research, two algorithms for detecting deterministic fluctuations based on the Neyman-Pearson criterion and the optimal Bayesian criterion are developed. The presented algorithms can be used in the integrated simulator software to automate the decision-making process on piloting quality.
6
Mauring, Eirik, and Ola Kihle. "Leveling aerogeophysical data using a moving differential median filter." GEOPHYSICS 71, no. 1 (January 2006): L5—L11. http://dx.doi.org/10.1190/1.2163912.
Full textAbstract:
We describe a new technique that can be used to level data collected along regular and irregular line patterns with or without tie-line control. The technique incorporates a moving differential median filter to minimize line-level errors, to level survey-line data, and to microlevel data with no tie-line control. This overcomes the problem of standard leveling methods that lose their effectiveness with irregular flight patterns. To validate the method, we use it to level very-low-frequency (VLF) electromagnetic (EM) data from a helicopter survey where flight lines are parallel. Leveling is also performed on a set of vintage aeromagnetic data from the North Sea, gathered from nonparallel flight lines. Results show that the differential median filter leveling technique is superior to the standard leveling method because it results in fewer line errors and less distortion of high-wavenumber anomalies when processing irregular survey lines, making the method suitable for a wide variety of data sets.
7
Huang, Min, Zhong-wei Wang, Zhen-yun Guo, and Yao-bin Niu. "Design of the wind tunnel based virtual flight testing evaluation method for flight control systems." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 232, no. 1 (September 28, 2016): 17–29. http://dx.doi.org/10.1177/0954410016670678.
Full textAbstract:
In order to provide a method for evaluating flight control systems with the wind tunnel based virtual flight testing and provide a guide for building virtual flight testing systems, the virtual flight testing evaluation method was researched. The virtual flight testing evaluation method consisted of three parts: virtual flight testing method, virtual flight testing data processing method, and flight control system performance determination method, which were respectively designed for a pitching control system. Then, the hardware-in-the-loop simulation evaluation method was presented, and comparisons between the virtual flight testing and hardware-in-the-loop simulation evaluation method were conducted to highlight the characteristics of virtual flight testing evaluation method. Finally, virtual flight testing simulation models of a sample air vehicle were built and virtual flight testing were simulated to demonstrate the virtual flight testing evaluation method, which is helpful for the understanding of the virtual flight testing evaluation method with more sensibility. The evaluation results show that the virtual flight testing evaluation method designed can be used for flight control system evaluation.
8
Qu, Jingyi, Shixing Wu, and Jinjie Zhang. "Flight Delay Propagation Prediction Based on Deep Learning." Mathematics 11, no. 3 (January 17, 2023): 494. http://dx.doi.org/10.3390/math11030494.
Full textAbstract:
The current flight delay not only affects the normal operation of the current flight, but also spreads to the downstream flights through the flights schedule, resulting in a wide range of flight delays. The analysis and prediction of flight delay propagation in advance can help civil aviation departments control the flight delay rate and reduce the economic loss caused by flight delays. Due to the small number of data samples that can constitute flight chains, it is difficult to construct flight chain data. In recent years, the analysis of the flight delay propagation problem is generally based on traditional machine learning methods with a small sample size. After obtaining a large amount of raw data from the China Air Traffic Management Bureau, we have constructed 36,287 pieces of three-level flight chain data. Based on these data, we tried to use a deep learning method to analyze and forecast flight delays. In the field of deep learning, there are CNN models and RNN models that deal with classification problems well. Based on these two classes of models, we modify and innovate the study of the problem of flight delay propagation and prediction. Firstly, the CNN-based CondenseNet algorithm is used to predict the delay level of the three-level flight chain data. Based on this, the CondenseNet network is improved by inserting CBAM modules and named CBAM-CondenseNet. The experimental results show that the improved algorithm can effectively improve the network performance, and the prediction accuracy can reach 89.8%. Compared with the traditional machine learning method, the average prediction accuracy increased by 8.7 percentage points. On the basis of the CNN model, we also considered the superiority of the LSTM (Long Short-Term Memory network) considering the processing time sequence information, and then constructed the CNN-MLSTM network and injected the SimAM module to enhance the attention of flight chain data. In the experiment of flight delay propagation prediction, the accuracy rate is 91.36%, which is a significant improvement compared to using the CNN or LSTM alone.
9
Knyazev, A. S. "The use of the X-Plane flight simulator and SimInTech environment in the educational process during the practical lesson "Flight data processing"." Civil Aviation High Technologies 24, no. 6 (December 27, 2021): 42–53. http://dx.doi.org/10.26467/2079-0619-2021-24-6-42-53.
Full textAbstract:
During training sessions at an aviation university, it is advisable to demonstrate samples of aviation equipment, individual elements of systems and assemblies, or use specialized stands and posters. However, when conducting classes remotely, not all of these materials can be used, since it is not always possible to show them in dynamics and thus ensure the formation of a clear idea of students about the object being studied. The article considers an example of using a flight simulator in the educational process as a means of visualizing aviation equipment during a practical lesson "Flight data processing". Visual perception of the materials of objective control does not give a complete understanding of the dynamics of the aircraft flight, its attitude while executing pilotage and aerobatics elements, therefore, it is necessary to demonstrate the performance of flight elements with the simultaneous display of flight parameters in a graphical form. For this purpose, the X-Plane flight simulator is used, for interaction with which a project has been developed in the SimInTech environment that implements data exchange for flight control of an aircraft model and registration of parametric information for its further analysis. Schemes for simulating the operation of on-board recording devices are described. The ways of solving the tasks are described. The possibility of using the developed projects for remote training of aviation specialists, as well as the implementation of the results obtained in the educational process of aviation universities, is indicated.
10
Romatschke, Ulrike, Michael Dixon, Peisang Tsai, Eric Loew, Jothiram Vivekanandan, Jonathan Emmett, and Robert Rilling. "The NCAR Airborne 94-GHz Cloud Radar: Calibration and Data Processing." Data 6, no. 6 (June 19, 2021): 66. http://dx.doi.org/10.3390/data6060066.
Full textAbstract:
The 94-GHz airborne HIAPER Cloud Radar (HCR) has been deployed in three major field campaigns, sampling clouds over the Pacific between California and Hawaii (2015), over the cold waters of the Southern Ocean (2018), and characterizing tropical convection in the Western Caribbean and Pacific waters off Panama and Costa Rica (2019). An extensive set of quality assurance and quality control procedures were developed and applied to all collected data. Engineering measurements yielded calibration characteristics for the antenna, reflector, and radome, which were applied during flight, to produce the radar moments in real-time. Temperature changes in the instrument during flight affect the receiver gains, leading to some bias. Post project, we estimate the temperature-induced gain errors and apply gain corrections to improve the quality of the data. The reflectivity calibration is monitored by comparing sea surface cross-section measurements against theoretically calculated model values. These comparisons indicate that the HCR is calibrated to within 1–2 dB of the theory. A radar echo classification algorithm was developed to identify “cloud echo” and distinguish it from artifacts. Model reanalysis data and digital terrain elevation data were interpolated to the time-range grid of the radar data, to provide an environmental reference.
11
Kuantama, Endrowednes, Ioan Tarca, Simona Dzitac, Ioan Dzitac, and Radu Tarca. "Flight Stability Analysis of a Symmetrically-Structured Quadcopter Based on Thrust Data Logger Information." Symmetry 10, no. 7 (July 19, 2018): 291. http://dx.doi.org/10.3390/sym10070291.
Full textAbstract:
Quadcopter flight stability is achieved when all of the rotors–propellers generate equal thrust in hover and throttle mode. It requires a control system algorithm for rotor speed adjustment, which is related with the translational vector and rotational angle. Even with an identical propeller and speed, the thrusts generated are not necessarily equal on all rotors–propellers. Therefore, this study focuses on developing a data logger to measure thrust and to assist in flight control on a symmetrically-structured quadcopter. It is developed with a four load cells sensor with two-axis characterizations and is able to perform real-time signal processing. The process includes speed adjustment for each rotor, trim calibration, and a proportional integral derivative (PID) control tuning system. In the data retrieval process, a quadcopter was attached with data logger system in a parallel axis position. Various speeds between 1200 rpm to 4080 rpm in throttle mode were analyzed to determine the stability of the resulting thrust. Adjustment result showed that the thrust differences between the rotors were less than 0.5 N. The data logger showed the consistency of the thrust value and was proved by repeated experiments with 118 s of sampling time for the same quadcopter control condition. Finally, the quadcopter flight stability as the result of tuning process by the thrust data logger was validated by the flight controller data.
12
Accomando, Filippo, Andrea Vitale, Antonello Bonfante, Maurizio Buonanno, and Giovanni Florio. "Performance of Two Different Flight Configurations for Drone-Borne Magnetic Data." Sensors 21, no. 17 (August 26, 2021): 5736. http://dx.doi.org/10.3390/s21175736.
Full textAbstract:
The compensation of magnetic and electromagnetic interference generated by drones is one of the main problems related to drone-borne magnetometry. The simplest solution is to suspend the magnetometer at a certain distance from the drone. However, this choice may compromise the flight stability or introduce periodic data variations generated by the oscillations of the magnetometer. We studied this problem by conducting two drone-borne magnetic surveys using a prototype system based on a cesium-vapor magnetometer with a 1000 Hz sampling frequency. First, the magnetometer was fixed to the drone landing-sled (at 0.5 m from the rotors), and then it was suspended 3 m below the drone. These two configurations illustrate endmembers of the possible solutions, favoring the stability of the system during flight or the minimization of the mobile platform noise. Drone-generated noise was filtered according to a CWT analysis, and both the spectral characteristics and the modelled source parameters resulted analogously to that of a ground magnetic dataset in the same area, which were here taken as a control dataset. This study demonstrates that careful processing can return high quality drone-borne data using both flight configurations. The optimal flight solution can be chosen depending on the survey target and flight conditions.
13
Li, Kunkun, Rui Cao, Xiaoyu Qi, and Yaxiong Hu. "Research and Application of a Data Processing Method on Outliers in Unmanned Aerial Vehicle (UAV) Tracking Measurement." MATEC Web of Conferences 327 (2020): 01006. http://dx.doi.org/10.1051/matecconf/202032701006.
Full textAbstract:
In unmanned aerial vehicle (UAV) flight test, some complex outliers often appear in tracking measurements due to various factors stemming from environment, instrumentations, and even operators. This seriously affects the reliability of applications and analysis. This paper aims at the problem of outliers elimination to measurement data and proposes a joint data processing method comprising grouped data extraction, data trend modeling, and outliers detection. In the context of accuracy assessment test for measurement and control equipment (MCE), an approach using the measurement parameter for UAV flight is designed to estimate the time system deviation between MCEs, as well as to validate the effect of the proposed joint method. Finally, a simulation is implemented and results show the effectiveness and feasibility of the joint method to outliers elimination and time deviation estimation.
14
Cheng, Xuchang. "Research on the Application of Computer Vision Technology in Power System UAV Line Inspection." E3S Web of Conferences 358 (2022): 01030. http://dx.doi.org/10.1051/e3sconf/202235801030.
Full textAbstract:
The stability of transmission lines is one of the important factors to ensure stable power supply. In this paper, a set of UAV intelligent power line inspection flight control system is designed according to the special flight requirements of UAV in power line inspection operation based on the principle of photogrammetry. The key technologies of the system include UAV flight attitude control, high-precision time synchronization between multiple sensors, defect detection and intelligent diagnosis, airborne sensor calibration, wireless communication, and ground data processing. In this paper, a camera and an on-board computer are innovatively used for real-time image processing and pattern recognition for wire feature acquisition. At the same time, this paper proposes an improved Canny edge detection algorithm combined with image segmentation technology to achieve wire feature extraction and identification. The field test results show that the system can complete the remote control of the UAV and realize the intelligent navigation and inspection of the transmission line UAV.
15
Jia, Jian Ming, and Yao Hui Cheng. "Development of Intelligent Comprehensive Test System for Aeroengine Electrical Control System." Advanced Materials Research 466-467 (February 2012): 704–8. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.704.
Full textAbstract:
This paper proposed an intelligent comprehensive test system for the aeroengine electrical control system, which can fulfill LRU (Line Replace Unit) data collecting and data processing automatically, be applicable to the logical function and performance inspection of aeroengine electrical control system in difference aircraft.The whole structure and operating principle is introduced. By testing, this system can proceed the all-directions performance test with important significance for ensuring flight safety. It has been successfully used in workshop.
16
Lu, Jing. "Data Protection Software for Civil Aviation Control Flight Information System Based on FPE Algorithm." Security and Communication Networks 2022 (May 13, 2022): 1–7. http://dx.doi.org/10.1155/2022/4150660.
Full textAbstract:
This study is aimed in order to study the data protection software of civil aviation management flight information system based on FPE algorithm. The author established the data warehouse software of the air traffic control production information statistics system. First, using the Jquery browser application framework + service-oriented Web Service architecture technology, a B/S/S multilayer data application based entirely on browser applications is established. Then, with the support of the ATC production information statistical data warehouse software and the system application framework, the system realizes a series of production data processing related to production information management, such as data collection, data editing, data review, and business data statistics. Finally, combined with the attributes of business data, we analyze and compare all kinds of production information from multiple dimensions such as time and region; it also provides users with data analysis results of curve, pie, column, and other performance situations, display mode, and report output tool. SQL statement can be implemented to add data to the database, modify the existing data in the database, delete the existing data in the database, and can be queried in a variety of ways to the data in the database, and VB provides a human-computer interaction interface for various operations.
17
Ratcliffe, S. "Automatic Conflict Detection Logic for Future Air Traffic Control." Journal of Navigation 42, no. 1 (January 1989): 92–106. http://dx.doi.org/10.1017/s0373463300015113.
Full textAbstract:
Air traffic control (ATC) makes extensive use of computer technology in subordinate roles for processing flight-plan and radar data and for message switching. It is usual to stress that such computers are aids to human controllers who take the decisions. It can, however, be argued that computers are, in fact, already encroaching on the decision-taking processes. The SSR plot extractor, for example, produces a censored summary which amounts to only a few per cent of the torrent of radar data from which it is derived. This summary is then subjected to code conversion and coordinate transformation before it reaches the controllers who cannot refer back to the data sources. Once computer-processing has been introduced, the issue is no longer whether a computer may take some of the decisions involved in ATC, but merely the extent of the authority it can exercise.
18
Fesenko, O. D., R. O. Bieliakov, H. D. Radzivilov, S. A. Sasin, O. V. Borysov, I. V. Borysov, T. M. Derkach, and O. O. Kovalchuk. "METHOD OF IMPROVING THE ACCURACY OF NAVIGATION MEMS DATA PROCESSING OF UAV INERTIAL NAVIGATION SYSTEM." Radio Electronics, Computer Science, Control, no. 3 (October 18, 2022): 196. http://dx.doi.org/10.15588/1607-3274-2022-3-18.
Full textAbstract:
Context. Modern theory and practice of preparation and conduct of hostilities on land, at sea, in the air, and recently in cyberspace dictates the relentless modernization of military equipment. The development of fundamentally new weapons is carried out considering one of the main requirements – maximum automation of operational processes, which allows combatants to distance themselves from each other as much as possible.
Among the newest models of armaments on the battlefield, due to the predominantly positional nature of the armed confrontation, unmanned aerial vehicles (UAVs) have become virtually indispensable due to their own multitasking. One of the ways to increase the efficiency of UAVs on the battlefield is to increase the level of technical perfection of flight control systems.
Creating new approaches to the design of unmanned aerial vehicle navigation systems, in particular, based on a platformless inertial navigation system is an urgent task that will provide automatic control of the UAV flight route in the absence of corrective signals from the global satellite navigation system.
Objective. The purpose of this work is to develop a method for improving the accuracy of MEMC navigation data processing of an inertial navigation system of an unmanned aerial vehicle based on an advanced Madgwik filter.
This method will increase the speed of data processing of navigation parameters and the accuracy of determining the positioning parameters in the space of the UAV through the use of an advanced Madgwik filter.
The paper shows the developed block diagram of MEMS PINS filtration on the basis of the improved Madgwik filter, the detailed mathematical description of filtration processes is carried out.
This method was tested experimentally in the MATLAB software environment using a real set of data collected during the flight of the UAV.
Method. To achieve this goal, the following methods were used: intelligent systems, theory of automatic control, pseudo-spectral method; methods based on genetic algorithm and fuzzy neural network apparatus.
Results. A method for improving the accuracy of MEMC navigation data processing of an inertial navigation system of an unmanned aerial vehicle based on an advanced Madgwik filter has been developed. The possibility of practical application of the obtained results and in comparison, with traditional methods is investigated. An experiment was performed in the MatLab software environment, and a comparison was made with the method of processing navigation data based on the Madgwik filter and the Kalman filter.
Conclusions. The developed method of increasing the accuracy of MEMC navigation data processing of an inertial navigation system of an unmanned aerial vehicle based on an advanced Madgwik filter shows an advantage over known methods in the absence of corrective signals from the global satellite navigation system for accuracy and speed of navigation data processing.
19
Rohrseitz, Nicola, and Steven N. Fry. "Behavioural system identification of visual flight speed control in Drosophila melanogaster." Journal of The Royal Society Interface 8, no. 55 (June 4, 2010): 171–85. http://dx.doi.org/10.1098/rsif.2010.0225.
Full textAbstract:
Behavioural control in many animals involves complex mechanisms with intricate sensory-motor feedback loops. Modelling allows functional aspects to be captured without relying on a description of the underlying complex, and often unknown, mechanisms. A wide range of engineering techniques are available for modelling, but their ability to describe time-continuous processes is rarely exploited to describe sensory-motor control mechanisms in biological systems. We performed a system identification of visual flight speed control in the fruitfly Drosophila , based on an extensive dataset of open-loop responses previously measured under free flight conditions. We identified a second-order under-damped control model with just six free parameters that well describes both the transient and steady-state characteristics of the open-loop data. We then used the identified control model to predict flight speed responses after a visual perturbation under closed-loop conditions and validated the model with behavioural measurements performed in free-flying flies under the same closed-loop conditions. Our system identification of the fruitfly's flight speed response uncovers the high-level control strategy of a fundamental flight control reflex without depending on assumptions about the underlying physiological mechanisms. The results are relevant for future investigations of the underlying neuromotor processing mechanisms, as well as for the design of biomimetic robots, such as micro-air vehicles.
20
Liu, Shao Peng, Zhao Ying Zhou, Xing Yang, Qiu Sheng Liu, Qiong Wang, and Qi Guo. "Design and Realization of Modular MEMS-Based Attitude Measurement and Control System Based Wireless Sensor Networks." Key Engineering Materials 503 (February 2012): 393–96. http://dx.doi.org/10.4028/www.scientific.net/kem.503.393.
Full textAbstract:
The Modular Platform System in this Paper Consists of a Series of Modularized MEMS Subsystems, Including Central Control Unit, MEMS Attitude Measurement Unit, Environment Unit, Flight Measurement and Control Unit, Time Control Unit, Impact Vibration Measurement Unit and other Auxiliary Modular Units. the Key of the System Is the MEMS Attitude Measurement Unit, which Can Resolve the Real Time Attitude Information of the Carrier. the System Platform Chooses Different Sensors and Units According to Various Circumstances and Implements Data Collection, Fusion and Solution through the Central Processing Module. by Means of Carrying Distinct Units, System Platform Can Constitute many Measurement Control Systems, such as Micro Wireless Attitude Determination System, MAV Flight Data Recorder, MAV Flight Control System and PHM (prognostic and Health Management). with Application of MEMS, the System in this Paper Is High-Efficient, Low-Weighted, Simple-Structured, High-Reliable and even Can Respond in a Short Time. in View of these Merits, the System Can Be Applied in many Kinds of Attitude Measurement and Control System.
21
Zheng, Lei, Xin Chen, and Xun Hong Lv. "Research on Internal Communication of Redundant Flight Control Computer for UAV." Advanced Materials Research 383-390 (November 2011): 1578–83. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1578.
Full textAbstract:
Regarding the characteristic of the architecture of the sample redundant flight control computer based on CAN (control area network) bus, a bus protocol of internal communication based on time-triggered is presented. The protocol-frame, data-frame, synchronization arithmetic of internal communication are designed. According to the protocol, the communication between the CPU (central processing unit) and each other function unit can be reliable. At the same time, if some node of the network were failure, CPU can check it reliably and then carry through relevant switch logic to realize the redundancy management. The results of the experimentation show that according to the bus protocol designed in this paper, the internal communication of the FCC (flight control computer) was reliable, at the same time, the fault-detect and redundancy management can be realized.
22
Bakuła, K., M. Pilarska, W. Ostrowski, A. Nowicki, and Z. Kurczyński. "UAV LIDAR DATA PROCESSING: INFLUENCE OF FLIGHT HEIGHT ON GEOMETRIC ACCURACY, RADIOMETRIC INFORMATION AND PARAMETER SETTING IN DTM PRODUCTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 21–26. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-21-2020.
Full textAbstract:
Abstract. This article presents the results of studies related to the impact of flight altitude of UAV equipped with lidar data on geometric and radiometric information. Experiments were conducted in two test areas by performing UAV test flight missions at different UAV Laser Scanner (ULS) altitudes. The results were compared to other parameters describing the point clouds in order to answer the questions related to their genesis and evaluation of a product from such high-resolution datasets. The accuracy of the elevation models was assessed on the basis of control points measured with GNSS RTK and Terrestrial Laser Scanning (TLS). Accuracy was assessed by statistical parameters and differential digital elevation models. The second issue raised in this work is the study of the decrease in radiometric value with an increase in platform elevation. The results of this work clearly indicate the very low impact of platform altitude on DTM vertical error. In presented works the suggestion about DTM resolution and interpolation method are provided. Moreover, the influence of flight height on the reflectance and intensity is notable, however, its impact is related more with the details and resolution of the raster than radiometric values considering the possibility of radiometric calibration of the intensity.
23
Duan, Hui Fen, Feng Sun, and Chang Xin Xue. "Quality Analysis Method of Tracking Information in Aerospace Flight Mission." Applied Mechanics and Materials 433-435 (October 2013): 1821–25. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1821.
Full textAbstract:
In the aerospace experimental task,rule based information quality analysis method is very useful not only to immediately discover the problem in information gathering,transporting and processing,but also to precisely evaluate the accomplish situation. Based on the data analyzing model and characteristic of the aerospace experimental tracking and control information ,the method constructed an information quality analysis rule framework that make real-time information quality analysis a reality by combining the rules in different manner on demand. As a result, the aerospace experiment tracking and control information can be dynamically monitored, and the abnormal data can be captured instantly to help estimating the system malfunction.
24
Shen, Yingchun, Shuo Chang, and Qiang Wei. "Fly-by-wire Flight Control Comparative Analysis of Resident and Detached Application Sources of Civil Aircraft." Journal of Physics: Conference Series 2338, no. 1 (September 1, 2022): 012092. http://dx.doi.org/10.1088/1742-6596/2338/1/012092.
Full textAbstract:
Abstract Starting from the current multifunctional integration and architecture design development status of the flight control system for the mainstream civil aircraft, this paper proposes the system design concepts of “In and Out as a Whole”, “Direct Connection and Transmission”, and “Same Sources and Routes” for the external sensors application sources of the fight control system. External application sources are air data, inertial Reference data and angle of attack sensors in this paper, specifically. This paper analyzes and compares the functional residence and separation processing of external application sources for fly-by-wire flight control system. In addition, it demonstrates the correctness of this design concept and its practical engineering value, systematically. This work has provided a significant reference for future civil aircraft design.
25
Погудін, А. В., О. К. Погудіна, А. М. Биков, and Т. А. Пластун. "МОДЕЛЮВАННЯ АВТОМАТИЧНОГО ПОЛЬОТУ МАЛОГО БЕЗПІЛОТНОГО ЛІТАЛЬНОГО АПАРАТУ НАД ЛІНІЄЮ-МАРКЕРОМ." Open Information and Computer Integrated Technologies, no. 95 (October 26, 2022): 71–82. http://dx.doi.org/10.32620/oikit.2022.95.06.
Full textAbstract:
The subject of study is the process of automating the behavior of an unmanned aerial vehicle during a flight following a given marker inside a room. The goal is to reduce the distance of deviation from the course and reduce the time to complete the flight along the trajectory set by the contrasting marker on the ground. The task: to conduct an analysis of existing libraries capable of performing automatic flight simulation and adaptation of the received code to the hardware platform of modern unmanned aerial vehicles; review the structure of the selected library, and modify the components of the library, which are necessary for the formation of automatic flight; create a model of the video processing and control system, check its operational parameters in a simulation environment. The methods used are: system analysis used to compare existing libraries of UAV flight simulation information systems within the framework of the assigned tasks, artificial intelligence methods for the development of a video stream data analysis subsystem and recognition of the provided marker during UAV flight simulation, system programming methods for automatic control of UAV flight based on the data obtained from the visual information analysis system, a method of simulation modeling to check the correctness of the developed algorithms in collaborative work. The following results were obtained. The choice of the library for the development and modeling of subsystems of automatic flight of a small unmanned aerial vehicle in a room is justified, a subsystem for processing video information obtained from the built-in camera of a UAV is created, an automatic flight control subsystem is developed taking into account the data of the video information analysis subsystem; a series of experiments was conducted on a simulation model to check the system's performance. Conclusions. In the course of the study, a model of the autonomous flight of a small unmanned aerial vehicle capable of flying over a contrasting color marker placed on the surface over which the UAV flies was improved. Unlike existing models, the system does not require the use of additional equipment, all computing operations must be performed on board the UAV, only the data of the video stream of the built-in camera and the coordinates of the UAV are transmitted to the control station, in addition, the minimum number of additional libraries necessary for creating a simulation model was used simulation modeling. This will reduce the time it takes to create a model, and, accordingly, conduct more experiments on improving parameters to achieve the goal of research.
26
Huang, Yixin, Xiaojia Xiang, Han Zhou, Dengqing Tang, and Yihao Sun. "Online Identification-Verification-Prediction Method for Parallel System Control of UAVs." Aerospace 8, no. 4 (April 2, 2021): 99. http://dx.doi.org/10.3390/aerospace8040099.
Full textAbstract:
In order to solve the problem of how to efficiently control a large-scale swarm Unmanned Aerial Vehicle (UAV) system, which performs complex tasks with limited manpower in a non-ideal environment, this paper proposes a parallel UAV swarm control method. The key technology of parallel control is to establish a one-to-one artificial UAV system corresponding to the aerial swarm UAV on the ground. This paper focuses on the computational experiments algorithm for artificial UAV system establishment, including data processing, model identification, model verification and state prediction. Furthermore, this paper performs a comprehensive flight mission with four common modes (climbing, level flighting, turning and descending) for verification. The results of the identification experiment present a good consistency between the outputs of the refined dynamics model and the real flight data. The prediction experiment results show that the prediction method in this paper can basically guarantee that the prediction states error is kept within 10% about 16 s.
27
Zhang, Yan Lian. "Design of Flight Test System Based on 1553B-Bus Real-Time Processing System." Advanced Materials Research 774-776 (September 2013): 1481–84. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1481.
Full textAbstract:
To satisfy the special requirement of Real-time Processing for 1553B-Bus in large-scale ground experimentation of airborne weapon, the design and realization of 1553B-Bus communication board based on USB-interface and Real-time Processing soft for 1553B-Bus are proposed. The high performance fixed point MSC1210Y5 and the Advanced Communication Engine (ACE) BU-61580 are all used in the design of hardware. The function of logical control is implemented by FPGA. The system achieves data acquisition and real-time processing of 1553B-Bus in ground experimentation; the experiment shows that the system achieves the desired design requirement of experiment testing.
28
Lin, Feng, Kevin Z. Y. Ang, Fei Wang, Ben M. Chen, Tong H. Lee, Beiqing Yang, Miaobo Dong, et al. "Development of an Unmanned Coaxial Rotorcraft for the DARPA UAVForge Challenge." Unmanned Systems 01, no. 02 (October 2013): 211–45. http://dx.doi.org/10.1142/s2301385013400049.
Full textAbstract:
In this paper, we present a comprehensive design for a fully functional unmanned rotorcraft system: GremLion. GremLion is a new small-scale unmanned aerial vehicle (UAV) concept using two contra-rotating rotors and one cyclic swash-plate. It can fit within a rucksack and be easily carried by a single person. GremLion is developed with all necessary avionics and a ground control station. It has been employed to participate in the 2012 UAVForge competition. The proposed design of GremLion consists of hardware construction, software development, dynamics modeling and flight control design, as well as mission algorithm investigation. A novel computer-aided technique is presented to optimize the hardware construction of GremLion to realize robust and efficient flight behavior. Based on the above hardware platform, a real-time flight control software and a ground control station (GCS) software have been developed to achieve the onboard processing capability and the ground monitoring capability respectively. A GremLion mathematical model has been derived for hover and near hover flight conditions and identified from experimental data collected in flight tests. We have combined H∞ technique, a robust and perfect tracking (RPT) approach, and custom-defined flight scheduling to design a comprehensive nonlinear flight control law for GremLion and successfully realized the automatic control which includes take-off, hovering, and a variety of essential flight motions. In addition, advanced mission algorithms have been presented in the paper, including obstacle detection and avoidance, as well as target following. Both ground and flight experiments of the complete system have been conducted including autonomous hovering, waypoint flight, etc. The test results have been presented in this paper to verify the proposed design methodology.
29
Zámková, Martina, Stanislav Rojík, Martin Prokop, and Radek Stolín. "Factors Affecting the International Flight Delays and Their Impact on Airline Operation and Management and Passenger Compensations Fees in Air Transport Industry: Case Study of a Selected Airlines in Europe." Sustainability 14, no. 22 (November 9, 2022): 14763. http://dx.doi.org/10.3390/su142214763.
Full textAbstract:
This paper aims to analyze the causes of flight delays of a selected airline operating in Europe and identify potential risks and reasons for delays in air transport, which carry risk, especially in connection with passenger dissatisfaction and the resulting need to pay compensation for delayed flights, according to EU law, which brings significant financial costs for airlines. Data collected from the years 2013–2019 have been used for the purposes of this article, including data on the duration and causes of the delays and the characteristics of individual flights, such as the flight type, aircraft type, time of departure, aircraft capacity, and the load factor. Multidimensional statistics methods have been applied for data processing, namely tests of independence and correspondence analysis. Dependencies have been presented in graphical form using correspondence maps. The analysis shows that the total share of delayed flights of the company in question does not increase over the mentioned period of time. The analysis furthermore proved that higher capacity aircraft were rather prone to longer delays. The share of delayed charter flights declined slightly over the period under review, while the number of delays caused by airline operating reasons, aircraft clearance by supplier companies, technical maintenance and aircraft defects, operating procedures, and crew flight standards and airport restrictions is increasing. The analysis also shows that the delays propagated by the delays of the previous flights are becoming more frequent, with the exception of the year 2019. In the last pre-COVID year, air traffic control could boast about a positive trend regarding the number of produced delays over the years, contributing to greater air passenger satisfaction and airline service quality. Due to the gradual revival of air transport after the COVID pandemic lockdowns, the topic of flight delays, passenger customer satisfaction and financial costs for the resulting delays is once again an actual issue for air management and operation.
30
Fedák, Viliam, and Ján Bačík. "Hardware Design for State Vector Identification of a Small Helicopter Model." Applied Mechanics and Materials 282 (January 2013): 107–15. http://dx.doi.org/10.4028/www.scientific.net/amm.282.107.
Full textAbstract:
The paper deals with hardware design for sensory system of a small helicopter model that is characterized by a long-term stability and in real time generates data about helicopter state variables during helicopter flight. The sensor system is based on powerful 32-bit processors with the cores ARM7 and Cortex-M3. The main unit for data processing presents an embedded computer built on a mini-ITX motherboard with processor Intel i3. As the helicopter presents a system with six degrees of freedom and in the fact, during the flight, there is not any fixed point that would enable to caliber the sensors placed on the helicopter board, for processing of sensor data complex stochastic calculations are necessary. They are based on the discrete Kalman filter that present a main computing tool of the control system.
31
Zang, Haipei, Jinfu Zhu, and Qiang Gao. "Deep Learning Architecture for Flight Flow Spatiotemporal Prediction in Airport Network." Electronics 11, no. 23 (December 6, 2022): 4058. http://dx.doi.org/10.3390/electronics11234058.
Full textAbstract:
Traffic flow prediction is a significant component for the new generation intelligent transportation. In the field of air transportation, accurate prediction of airport flight flow can help airlines schedule flights and provide a decision-making basis for airport resource allocation. With the help of Deep Learning technology, this paper focuses on the characteristics of flight flow easily disturbed by environmental factors, studies the spatiotemporal dependence between flight flows, and predicts the spatiotemporal distribution of flight flows from the airport network level. We proposed a deep learning architecture named ATFSTNP, which combining the residual neural network (ResNet), graph convolutional network (GCN), and long short-term memory (LSTM). Based big data analytics of air traffic management, this method takes the spatiotemporal causal relationship between weather impact and flight flow as the core, and deeply mines the complex spatiotemporal relationship of flight flow. The model’s methodologies are improved from the practical application level, and extensive experiments conducted on the China’s flight operation dataset. The results illustrate that the improved model has significant advantages in predicting the flight flow under weather affect. Even in the complex and variable external environment, the model can still accurately predict the spatiotemporal distribution of the airport network flight flow, with strong robustness.
32
Mohren, Thomas L., Thomas L. Daniel, Steven L. Brunton, and Bingni W. Brunton. "Neural-inspired sensors enable sparse, efficient classification of spatiotemporal data." Proceedings of the National Academy of Sciences 115, no. 42 (September 13, 2018): 10564–69. http://dx.doi.org/10.1073/pnas.1808909115.
Full textAbstract:
Sparse sensor placement is a central challenge in the efficient characterization of complex systems when the cost of acquiring and processing data is high. Leading sparse sensing methods typically exploit either spatial or temporal correlations, but rarely both. This work introduces a sparse sensor optimization that is designed to leverage the rich spatiotemporal coherence exhibited by many systems. Our approach is inspired by the remarkable performance of flying insects, which use a few embedded strain-sensitive neurons to achieve rapid and robust flight control despite large gust disturbances. Specifically, we identify neural-inspired sensors at a few key locations on a flapping wing that are able to detect body rotation. This task is particularly challenging as the rotational twisting mode is three orders of magnitude smaller than the flapping modes. We show that nonlinear filtering in time, built to mimic strain-sensitive neurons, is essential to detect rotation, whereas instantaneous measurements fail. Optimized sparse sensor placement results in efficient classification with approximately 10 sensors, achieving the same accuracy and noise robustness as full measurements consisting of hundreds of sensors. Sparse sensing with neural-inspired encoding establishes an alternative paradigm in hyperefficient, embodied sensing of spatiotemporal data and sheds light on principles of biological sensing for agile flight control.
33
Li, Chuanyou, Xinhang Yang, Shance Luo, Mingzhe Song, and Wei Li. "Towards Domain-Specific Knowledge Graph Construction for Flight Control Aided Maintenance." Applied Sciences 12, no. 24 (December 12, 2022): 12736. http://dx.doi.org/10.3390/app122412736.
Full textAbstract:
Flight control is a key system of modern aircraft. During each flight, pilots use flight control to control the forces of flight and also the aircraft’s direction and attitude. Whether flight control can work properly is closely related to safety such that daily maintenance is an essential task of airlines. Flight control maintenance heavily relies on expert knowledge. To facilitate knowledge achievement, aircraft manufacturers and airlines normally provide structural manuals for consulting. On the other hand, computer-aided maintenance systems are adopted for improving daily maintenance efficiency. However, we find that grass-roots engineers of airlines still inevitably consult unstructured technical manuals from time to time, for example, when meeting an unusual problem or an unfamiliar type of aircraft. Achieving effective knowledge from unstructured data is inefficient and inconvenient. Aiming at the problem, we propose a knowledge-graph-based maintenance prototype system as a complementary solution. The knowledge graph we built is dedicated for unstructured manuals referring to flight control. We first build ontology to represent key concepts and relation types and then perform entity-relation extraction adopting a pipeline paradigm with natural language processing techniques. To fully utilize domain-specific features, we present a hybrid method consisting of dedicated rules and a machine learning model for entity recognition. As for relation extraction, we leverage a two-stage Bi-LSTM (bi-directional long short-term memory networks) based method to improve the extraction precision by solving a sample imbalanced problem. We conduct comprehensive experiments to study the technical feasibility on real manuals from airlines. The average precision of entity recognition reaches 85%, and the average precision of relation extraction comes to 61%. Finally, we design a flight control maintenance prototype system based on the knowledge graph constructed and a graph database Neo4j. The prototype system takes alarm messages represented in natural language as the input and returns maintenance suggestions to serve grass-roots engineers.
34
Nikiforov, O. V., O. G. Dodonov, and V. G. Putyatin. "The use of information technologies in risk management for the flight safety of aviation." Mathematical machines and systems 1 (2021): 32–41. http://dx.doi.org/10.34121/1028-9763-2021-1-32-41.
Full textAbstract:
At present, the problem of ensuring the necessary level of state aviation flights safety in terms of hu-man and organizational factors is very urgent. Despite the ongoing measures aimed at expanding and strengthening control over the processes of aviation activity, flight incidents caused by insufficient reli-ability of personnel work and organizational errors continue to occupy leading positions. There is an in-sufficient efficiency of the flight safety management system to identify hazardous factors in their latent stage, which is necessary for the early prevention of accidents. The difficulty of timely identification of the aviation system dangerous states associated with these factors is due to the need to account, corre-late and analyze data of a very large dimension and multifacetedness. According to the authors, a suc-cessful solution to this problem is possible through the use of automated processing and cognitive com-bination of large heterogeneous information arrays based on centralized electronic systems for collect-ing, information and analytical processing and storage of information about the functioning of the avia-tion system, identified abnormal and dangerous conditions, and incidents that have already occurred. The article presents the concept of creating a promising automated flight safety management system for state aviation. The proposed system will make it possible to implement the principle of proactive detec-tion and prevention of hazardous factors and risks for flight safety, taking into account human and or-ganizational factors, based on the implementation of processes for centralized collection, generalization and analysis of big data on the state of the aviation system. Topical scientific tasks for the creation of a methodological basis for the development of special software for such an automated system have been formulated.
35
Mykhatskyi, Oleksii. "INFORMATIVE SAFETY OF UNMANNED AVIATION SYSTEMS RADIO COMMUNICATION CHANNELS." Cybersecurity: Education, Science, Technique, no. 1 (2018): 56–62. http://dx.doi.org/10.28925/2663-4023.2018.1.5662.
Full textAbstract:
An analysis of navigation and command-telemetric radio channels is used for exploitation of unmanned aviation systems are proceeds. The classification of radio channels vulnerability is tied to the modes of unmanned aerial vehicles control and their safe exploitation key terms. The criteria of flight mission feasibility and applicability of the different control modes are set in the conditions of violation at the radio channels data communication. The signs of successful flight task processing are the aircraft returning and landing to the set point, absence of distortions or rejections of preset flight trajectory, regular payload functioning. Each of these criteria can be broken when hindrances and interferences in the radio channels are present. Composition and setting functions of unmanned aerial vehicles control radio channels depend on the control mode. In-process distinguished manual control mode from earth in the zone of visual control, manual control mode via the feedback video channel, automatic control mode by an aircraft by on-board autopilot with constantly operating bilateral radio channel of telemetry and automatic control mode by the commands without permanent telemetric control. The first two modes envisage the permanent participating of the controlled from ground pilot in the control loop and due to it does not depend on suppression of satellite navigation radio channel. Suppression of radio management channels for these modes usually ends with abnormal finishing the flight. Hindrances and suppression of radio channels at automatic control modes can result in deviation of trajectory from the preset one or unsatisfactory work of the payload. Conclusions contain newest further suggestion on the unmanned aerial systems radio channels security. In the modes of visual hand control the probability of extraneous interference can be diminished by directed antennas. To increase the security at the automatic flight modes it offers to use the satellite navigation data authenticity analyzer with permanent comparison between the satellite data and calculated navigation data.
36
Strakhov, P., E. Badasen, B. Shurygin, and T. Kondranin. "A NEW CONTROL POINTS BASED GEOMETRIC CORRECTION ALGORITHM FOR AIRBORNE PUSH BROOM SCANNER IMAGES WITHOUT ON-BOARD DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 1, 2016): 99–104. http://dx.doi.org/10.5194/isprsannals-iii-1-99-2016.
Full textAbstract:
Push broom scanners, such as video spectrometers (also called hyperspectral sensors), are widely used in the present. Usage of scanned images requires accurate geometric correction, which becomes complicated when imaging platform is airborne. This work contains detailed description of a new algorithm developed for processing of such images. The algorithm requires only user provided control points and is able to correct distortions caused by yaw, flight speed and height changes. It was tested on two series of airborne images and yielded RMS error values on the order of 7 meters (3-6 source image pixels) as compared to 13 meters for polynomial-based correction.
37
Strakhov, P., E. Badasen, B. Shurygin, and T. Kondranin. "A NEW CONTROL POINTS BASED GEOMETRIC CORRECTION ALGORITHM FOR AIRBORNE PUSH BROOM SCANNER IMAGES WITHOUT ON-BOARD DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 1, 2016): 99–104. http://dx.doi.org/10.5194/isprs-annals-iii-1-99-2016.
Full textAbstract:
Push broom scanners, such as video spectrometers (also called hyperspectral sensors), are widely used in the present. Usage of scanned images requires accurate geometric correction, which becomes complicated when imaging platform is airborne. This work contains detailed description of a new algorithm developed for processing of such images. The algorithm requires only user provided control points and is able to correct distortions caused by yaw, flight speed and height changes. It was tested on two series of airborne images and yielded RMS error values on the order of 7 meters (3-6 source image pixels) as compared to 13 meters for polynomial-based correction.
38
Wang, Jialiang, Jianli Ding, Weidong Cao, Quanfu Li, and Hai Zhao. "Neural network fuzzy control for enhancing the stability performance of quad-rotor helicopter." Transactions of the Institute of Measurement and Control 40, no. 11 (December 14, 2017): 3333–44. http://dx.doi.org/10.1177/0142331217713837.
Full textAbstract:
Recently, the quad-rotor helicopter has gained increasing attention owing to its very good flexibility, its ability to execute various flight missions even in harsh environments. The quad-rotor helicopter can implement different fight attitudes, which is attributed to the effective control of the motor speed about four propellers. In order to make the quad-rotor helicopter can better finish flight mission, the performance of flight stability then becomes particularly important. A neural network fuzzy control algorithm is proposed in this paper so as to guarantee the stability performance of the quad-rotor helicopter. The proposed algorithm is based on the neural network, which keeps the self-organization and self-learning ability, besides this, it utilizes the strong impression ability of constitutive knowledge as to the fuzzy logic. The proposed control scheme aims to implement good abilities such as describing qualitative knowledge, strong learning mechanism and direct processing about quantitative data of the quad-rotor helicopter. In the practical flight process of the quad-rotor helicopter, while the deviation of position and attitude information become larger, fuzzy control is adopted so as to shorten the overshoot and adjustment time. On the other hand, if the deviation of position and attitude become relatively smaller, neural network PID control will be used so as to reduce the error. Experimental results show that the proposed neural network fuzzy control algorithm exhibits good performance in the flight process of the quad-rotor helicopter.
39
Langan, Paul, and Gayle Greene. "Protein crystallography with spallation neutrons: collecting and processing wavelength-resolved Laue protein data." Journal of Applied Crystallography 37, no. 2 (March 17, 2004): 253–57. http://dx.doi.org/10.1107/s0021889804000627.
Full textAbstract:
The protein crystallography station at Los Alamos Neutron Science Center is the first to be built at a spallation neutron source. Time-of-flight methods in combination with a large electronic position-sensitive and time-sensitive detector are used in order to collect wavelength-resolved Laue diffraction data. The wavelength-resolved Laue technique is new to protein crystallography and has required the development of new strategies for data collection and data analysis. The software suited*TREKhas been adapted and used in combination with the Daresbury Laue software suite, the instrument control softwarePCS-GUI, and the graphics programO, for data collection and processing in the protein crystallography station wavelength-resolved Laue environment. Examples are given, as typical, for data processing from rubredoxin, insulin and D-xylose isomerase with unit cells ranging from 34.32 × 35.31 × 44.23 Å to 93.78 × 88.53 × 102.90 Å, thus illustrating the power of the instrument and the scope of the instrument software.
40
Zhu, Quanxin, S. Vimal Kumar, R. Raja, and Fathalla Rihan. "Extended dissipative analysis for aircraft flight control systems with random nonlinear actuator fault via non-fragile sampled-data control." Journal of the Franklin Institute 356, no. 15 (October 2019): 8610–24. http://dx.doi.org/10.1016/j.jfranklin.2019.08.032.
Full text
41
Golub, V., O. Bursala, and V. Chupryna. "METHODOLOGICAL APPROACH TO DETERMINATION OF THE TREND OF CHANGES IN AIRCRAFT RELIABILITY INDICATORS OF AVIATION EQUIPMENT ON THE EXAMPLE OF STATE AVIATION HELICOPTERS." Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки, no. 6 (December 30, 2020): 42–51. http://dx.doi.org/10.37701/dndivsovt.6.2020.05.
Full textAbstract:
The problem of flight tsafety , without regard to swift scientific and technical progress in industry of aviation equipment, become exceptionally sharp in our time. The statistical processing of empiric data is an actual task in monitoring of process of exploitation of propulsion MODULE of the Armed Forces of Ukraine and determination of tendencies of technical service and repair, directions of modernisation of armament and military equipment.
The article considers the approach of the systems to the evaluation of reliability and safety of flights in relation to accomplishment of combat missions and preventionof aviation accidents. A methodological approach to the mathematical processing of statistical information for the period 2016-2019 on malfunctions was developed. The quantitative evaluation of their level is conducted on the generally accepted standardized indexes (statistical and probabilistic), specific methodology was here used.
Index "parameter of failure flow" that characterizes the level of operating reliability and index "level of accident rate" that characterizes safety of flights were used in this methodology on ІСАО recommendation.
Certain trends of changes of these indexes, the “upper control limit of reliability" and the considered conception of acceptable level of safety performance ( ALoSP) are expected for future periods for the different types of helicopters.
On the base of operating data, the prognosis indexes expected, "upper control limit of reliability" on 2020 for the specific types of helicopters. As expected, according to obtained results, for all types of helicopters the mean value of this index will make not more than 4,3 failures per 100 flight hours.
In accordance to conception of "acceptable level of "ALoSP" it is possible to distinguish three levels or "triggers" of flights safety : Acceptable level (Acceptable), special purpose level (Target), Critical level (Alert). These "triggers" are calculated taking into account the mean value of statistical sets of data about failures (for the last 3 years) and standard deviation that gives an opportunity to define the necessary additional measures of management to provide safety of flights.
Authors came to the conclusion that conception of ALoSP is suitable for the evaluation of efficiency to provide flights safety of aviation of the Armed Forces of Ukraine with implementation of necessary adaptation to the existent terms of application of UKR aviation.
42
Kim, Hyoun Kyoung, Sang Jong Lee, Tae Sik Kim, and Hae Chang Lee. "The Development and Performance Analysis of a Ground Control System for an Unmanned Airship." Key Engineering Materials 277-279 (January 2005): 771–75. http://dx.doi.org/10.4028/www.scientific.net/kem.277-279.771.
Full textAbstract:
A control system and ground pilots who operate the system are necessary to control an unmanned vehicle. This paper describes a Ground Control System(GCS) of the unmanned airship developed at KARI. The system is capable of mission planning, real-time data processing, remote real-time data analysis, and data storage and extraction. We estimate the performance of the system and verify its reliability using real-time simulation software. The software relies on a priority-based multitasking algorithm. No task has delay time and deadlock with semaphore, all of the ground system works in stable during the test flight.
43
Yan, Xunliang, Peichen Wang, Shaokang Xu, Shumei Wang, and Hao Jiang. "Adaptive Entry Guidance for Hypersonic Gliding Vehicles Using Analytic Feedback Control." International Journal of Aerospace Engineering 2020 (November 17, 2020): 1–18. http://dx.doi.org/10.1155/2020/8874251.
Full textAbstract:
This paper presents an adaptive, simple, and effective guidance approach for hypersonic entry vehicles with high lift-to-drag (L/D) ratios (e.g., hypersonic gliding vehicles). The core of the constrained guidance approach is a closed-form, easily obtained, and computationally efficient feedback control law that yields the analytic bank command based on the well-known quasi-equilibrium glide condition (QEGC). The magnitude of the bank angle command consists of two parts, i.e., the baseline part and the augmented part, which are calculated analytically and successively. The baseline command is derived from the analytic relation between the range-to-go and the velocity to guarantee the range requirement. Then, the bank angle is augmented with the predictive altitude-rate feedback compensations that are represented by an analytic set of flight path angle needed for the terminal constraints. The inequality path constraints in the velocity-altitude space are translated into the velocity-dependent bounds for the magnitude of the bank angle based on the QEGC. The sign of the bank command is also analytically determined using an automated bank-reversal logic based on the dynamic adjustment criteria. Finally, a feasible three-degree-of-freedom (3DOF) entry flight trajectory is simultaneously generated by integrating with the real-time updated command. Because no iterations and no or few off-line parameter adjustments are required using almost all analytic processing, the algorithm provides remarkable simplicity, rapidity, and adaptability. A considerable range of entry flights using the vehicle data of the CAV-H is tested. Simulation results demonstrate the effectiveness and performance of the presented approach.
44
Yang, Xing-bao, and Min Huang. "Evaluation Abilities and Requirements of the Wind Tunnel Hardware-in-the-loop Simulation for Evaluation of Missiles’ Flight Control Systems." MATEC Web of Conferences 179 (2018): 03022. http://dx.doi.org/10.1051/matecconf/201817903022.
Full textAbstract:
In order to determine the flight control system (FCS) performances that wind tunnel hardware-in-the-loop simulation (WT-HILS) can evaluate, and lay foundations for designing the WT-HILS evaluation methods, the evaluation abilities and requirements of WT-HILS for FCS evaluation were analyzed. Firstly, the features of WT-HILS were pointed out. Then, according to the features of WT-HILS, what FCS performances WT-HILS can evaluate were analyzed, and the differences of evaluation abilities among the WT-HILS, the traditional hardware-in-the-loop simulation (HILS), and flight tests were compared. Lastly, from the aspects of testing, data processing, and FCS performance determination, the specific requirements of WT-HILS for evaluating FCS were analyzed.
45
Gauci, Alysa A., Christian J. Brodbeck, Aurelie M. Poncet, and Thorsten Knappenberger. "Assessing the Geospatial Accuracy of Aerial Imagery Collected with Various UAS Platforms." Transactions of the ASABE 61, no. 6 (2018): 1823–29. http://dx.doi.org/10.13031/trans.12852.
Full textAbstract:
Abstract. Recent development of small unmanned aircraft systems (UAS) provides a relatively low-cost solution to collect aerial imagery with very high spatial and temporal resolutions. The geospatial accuracy of collected data can range from a few centimeters to several meters, and the use of ground control points (GCPs) is recommended to correct for large geospatial errors. However, whether or not GCPs are used, the true geospatial accuracy of collected UAS data remains unknown. The objective of this study was to measure and compare the geospatial accuracy of images obtained with various UAS platforms at two flight altitudes. Aerial imagery was collected using four platforms equipped with different RGB cameras: Phantom 4, eBee Ag, eBee Plus, and Trimble UX5. All platforms were equipped with manufacturer GPS receivers, and RTK was activated on the eBee Plus. Each platform was flown at 75 and 120 m altitudes, and the experiment was replicated three times. Results demonstrated that using GCPs during data processing improved the horizontal and vertical accuracies of the Phantom 4, eBee Ag, and Trimble UX, decreased the between-flight variability, and accounted for the negative effect of flight altitude. On the other hand, the RTK technology used with the eBee Plus resulted in images with very high geospatial accuracy with or without GCPs. Using GCPs during data processing or RTK technology at the time of flight provided aerial imagery with horizontal accuracies of 1.5 to 10 cm and vertical accuracies of 0.0 to 0.4 m. These results are within an acceptable range for data utilization, unlike the horizontal and vertical accuracies obtained without GCPs or RTK, which ranged from 32 to 441 cm and from 1 to 126 m, respectively. Results from this study quantify the geospatial accuracy of UAS imagery and provide a better understanding of the relationships between the accuracy of the GPS receivers in UAS, flight altitude, and horizontal and vertical accuracies of collected images. Keywords: Accuracy, Drone, Ground control points, Precision agriculture, UAV.
46
Xu, Kaijun, Rui Liu, Xi Chen, Yong Yang, and Quanchuan Wang. "Brain structure variability study in pilots based on VBM." PLOS ONE 18, no. 1 (January 27, 2023): e0276957. http://dx.doi.org/10.1371/journal.pone.0276957.
Full textAbstract:
The impact of occupations on brain structures has attracted considerable research interests in the last decade. The aim of this research is to find the effect of flight training on brain gray matter volume of pilots. The whole-brain structural magnetic resonance imaging (sMRI) data collected from 26 pilots and 24 controls was analyzed using Voxel-based morphological analysis method (VBM) combined with T1 data to quantitatively detect the local gray matter of brain tissue and calculate the gray matter volume. The result shows that the pilot group has larger gray matter volume in the lingual gyrus and fusiform gyrus compared to the control group (P<0.05). Furthermore, there is a positive correlation between the gray matter volume and the number of flight hours (r = 0.426, P = 0.048) after studying the average gray matter volume value of the agglomerate of participants whose flight hours are between 0 and 1000 hours. The lingual gyrus and fusiform gyrus are involved in high-level visual processing, memory, multisensory integration and perception. The study has indicated the flight training could enlarge gray matter volume in the lingual gyrus and fusiform gyrus. During flying, pilots need to observe the instrumentation in the cockpit and fully interpret the readings, which may lead to the results.
47
A. Abouzeid, Abdallah, Mostafa Mohei Eldin, and Mohammed Abdel Razek. "Airlines fleet assignment prediction model for new flights using deep neural network." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 2 (February 1, 2023): 973. http://dx.doi.org/10.11591/ijeecs.v29.i2.pp973-980.
Full textAbstract:
<span lang="EN-US">Airline fleet assignment is the process of allocating different types of aircraft to different scheduled flight legs in order to reduce operating costs and increase revenue. In this research, flights data records from Egypt Air airlines was employed to build an intelligent fleet assignment model to predict the optimal fleet type for new flights. Deep neural network (DNN) and support vector machines (SVM) was used for model formulations. We evaluated the performance of models on a fleet type prediction. The research results showed that various accuracy levels of fleet type multiclass classifications were attained by the models. In terms of accuracy, the deep neural network performed better than support vector machines. Besides, airline companies can use our proposed model for fleet type prediction for new flight with desired parameter values 5, 20 and 250 for hidden layers, number of neuron and number of epochs respectively if they use the same structure for data attributes.</span>
48
Mian, O., J. Lutes, G. Lipa, J. J. Hutton, E. Gavelle, and S. Borghini. "DIRECT GEOREFERENCING ON SMALL UNMANNED AERIAL PLATFORMS FOR IMPROVED RELIABILITY AND ACCURACY OF MAPPING WITHOUT THE NEED FOR GROUND CONTROL POINTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (August 27, 2015): 397–402. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-397-2015.
Full textAbstract:
This paper presents results from a Direct Mapping Solution (DMS) comprised of an Applanix APX-15 UAV GNSS-Inertial system integrated with a Sony a7R camera to produce highly accurate ortho-rectified imagery without Ground Control Points on a Microdrones md4-1000 platform. A 55 millimeter Nikkor f/1.8 lens was mounted on the Sony a7R and the camera was then focused and calibrated terrestrially using the Applanix camera calibration facility, and then integrated with the APX-15 UAV GNSS-Inertial system using a custom mount specifically designed for UAV applications. <br><br> In July 2015, Applanix and Avyon carried out a test flight of this system. The goal of the test flight was to assess the performance of DMS APX-15 UAV direct georeferencing system on the md4-1000. The area mapped during the test was a 250 x 300 meter block in a rural setting in Ontario, Canada. Several ground control points are distributed within the test area. The test included 8 North-South lines and 1 cross strip flown at 80 meters AGL, resulting in a ~1 centimeter Ground Sample Distance (GSD). <br><br> Map products were generated from the test flight using Direct Georeferencing, and then compared for accuracy against the known positions of ground control points in the test area. The GNSS-Inertial data collected by the APX-15 UAV was post-processed in Single Base mode, using a base station located in the project area via POSPac UAV. The base-station’s position was precisely determined by processing a 12-hour session using the CSRS-PPP Post Processing service. The ground control points were surveyed in using differential GNSS post-processing techniques with respect to the base-station.
49
Seren, Cédric, Pierre Ezerzere, and Georges Hardier. "Model–Based Techniques for Virtual Sensing of Longitudinal Flight Parameters." International Journal of Applied Mathematics and Computer Science 25, no. 1 (March 1, 2015): 23–38. http://dx.doi.org/10.1515/amcs-2015-0002.
Full textAbstract:
Abstract Introduction of fly-by-wire and increasing levels of automation significantly improve the safety of civil aircraft, and result in advanced capabilities for detecting, protecting and optimizing A/C guidance and control. However, this higher complexity requires the availability of some key flight parameters to be extended. Hence, the monitoring and consolidation of those signals is a significant issue, usually achieved via many functionally redundant sensors to extend the way those parameters are measured. This solution penalizes the overall system performance in terms of weight, maintenance, and so on. Other alternatives rely on signal processing or model-based techniques that make a global use of all or part of the sensor data available, supplemented by a model-based simulation of the flight mechanics. That processing achieves real-time estimates of the critical parameters and yields dissimilar signals. Filtered and consolidated information is delivered in unfaulty conditions by estimating an extended state vector, including wind components, and can replace failed signals in degraded conditions. Accordingly, this paper describes two model-based approaches allowing the longitudinal flight parameters of a civil A/C to be estimated on-line. Results are displayed to evaluate the performances in different simulated and real flight conditions, including realistic external disturbances and modeling errors.
50
Aicardi, I., F. Chiabrando, N. Grasso, A. M. Lingua, F. Noardo, and A. Spanò. "UAV PHOTOGRAMMETRY WITH OBLIQUE IMAGES: FIRST ANALYSIS ON DATA ACQUISITION AND PROCESSING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 835–42. http://dx.doi.org/10.5194/isprs-archives-xli-b1-835-2016.
Full textAbstract:
In recent years, many studies revealed the advantages of using airborne oblique images for obtaining improved 3D city models (e.g. including façades and building footprints). Expensive airborne cameras, installed on traditional aerial platforms, usually acquired the data. The purpose of this paper is to evaluate the possibility of acquire and use oblique images for the 3D reconstruction of a historical building, obtained by UAV (Unmanned Aerial Vehicle) and traditional COTS (Commercial Off-the-Shelf) digital cameras (more compact and lighter than generally used devices), for the realization of high-level-of-detail architectural survey. The critical issues of the acquisitions from a common UAV (flight planning strategies, ground control points, check points distribution and measurement, etc.) are described. Another important considered aspect was the evaluation of the possibility to use such systems as low cost methods for obtaining complete information from an aerial point of view in case of emergency problems or, as in the present paper, in the cultural heritage application field. The data processing was realized using SfM-based approach for point cloud generation: different dense image-matching algorithms implemented in some commercial and open source software were tested. The achieved results are analysed and the discrepancies from some reference LiDAR data are computed for a final evaluation. The system was tested on the S. Maria Chapel, a part of the Novalesa Abbey (Italy).