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Journal articles on the topic 'SUAV'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

A, Rajesh, Harish G, and Dr M. S. Ganesha Prasad. "Design and Optimization of SUAV Empennage." International Journal of Engineering Research 4, no. 6 (June 1, 2015): 309–14. http://dx.doi.org/10.17950/ijer/v4s6/608.

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2

Han, Jae-Do, Yeon-Sik Kang, Oh-Sung Ahn, and Young-Sin Lee. "A Study on Parameters of SUAV Landing Gear Orifice." Journal of the Korean Society for Aeronautical & Space Sciences 37, no. 1 (January 1, 2009): 99–104. http://dx.doi.org/10.5139/jksas.2009.37.1.099.

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3

YAGO, Rodríguez. "SUAV WARFARE IN THE NEXT DECADE." STRATEGIES XXI - Command and Staff College 17, no. 1 (August 11, 2021): 103–10. http://dx.doi.org/10.53477/2668-2028-21-11.

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Abstract: In this document we have focused on researching the so-called "Small Unmanned Aerial Vehicles" in order to find out what their main characteristics are and how they may affect the way we fight in the future. To achieve our goal, we have established several subjects relevant to any fighting system: design, manufacturing, tactical capabilities, logistics, recent experiences. After analyzing them we have come to a series of conclusions.

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4

Wang, Hang Yu. "A Novel Method for SUAV Path Planning Based on MPC." Advanced Materials Research 616-618 (December 2012): 2153–57. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.2153.

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Path planning has always being one of the most significant study fields in Small UAV researching. And Model Predictive Control (MPC) is a special strategy in obtaining the control actions which were achieved by solving a finite horizon optimal control problem at each instant. The paper advanced a novel method which was called Model Predictive Path Planning Strategy (MPPS) based on MPC to deal with the SUAV path planning problem and a responding predictive planner was put forward to generate an effective path for SUAV in simulative urban environment. The results of the simulation show that the advanced method can be used to plan path for SUAV.

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5

Lei, Yao, Yuhui Huang, and Hengda Wang. "Aerodynamic Performance of an Octorotor SUAV with Different Rotor Spacing in Hover." Processes 8, no. 11 (October 28, 2020): 1364. http://dx.doi.org/10.3390/pr8111364.

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To study the aerodynamic performance of hovering octorotor small unmanned aerial vehicles (SUAV) with different rotor spacing, the computational fluid dynamics (CFD) method is applied to analyze the flow field of an octorotor SUAV in detail. In addition, an experimental platform is built to measure the thrust and power of the rotors with rotor spacing ratios L/D of 1.0, 1.2, 1.4, 1.6, and 1.8, sequentially. According to the theory of momentum, rotor aerodynamic performance is obtained with qualitative analysis. Further analysis with numerical simulation is presented with the flow field of the octorotor SUAV, the vorticity distribution, velocity distribution, pressure distribution, and streamline. The results show that the aerodynamic performance varies with the rotor spacing. Specifically, the aerodynamic performance is poor at L/D = 1.0, which is accompanied with strong interaction of wake and tip vortexes and interaction with each other. However, the aerodynamic efficiency is much improved with a larger rotor spacing, especially achieving the highest at L/D = 1.8, which is considered to be the best rotor spacing ratio for this kind of octorotor SUAV.

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6

Gross, Jason N., Ryan M. Watson, Stéphane D’Urso, and Yu Gu. "Flight-Test Evaluation of Kinematic Precise Point Positioning of Small UAVs." International Journal of Aerospace Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/1259893.

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An experimental analysis of Global Positioning System (GPS) flight data collected onboard a Small Unmanned Aerial Vehicle (SUAV) is conducted in order to demonstrate that postprocessed kinematic Precise Point Positioning (PPP) solutions with precisions approximately 6 cm 3D Residual Sum of Squares (RSOS) can be obtained on SUAVs that have short duration flights with limited observational periods (i.e., only ~≤5 minutes of data). This is a significant result for the UAV flight testing community because an important and relevant benefit of the PPP technique over traditional Differential GPS (DGPS) techniques, such as Real-Time Kinematic (RTK), is that there is no requirement for maintaining a short baseline separation to a differential GNSS reference station. Because SUAVs are an attractive platform for applications such as aerial surveying, precision agriculture, and remote sensing, this paper offers an experimental evaluation of kinematic PPP estimation strategies using SUAV platform data. In particular, an analysis is presented in which the position solutions that are obtained from postprocessing recorded UAV flight data with various PPP software and strategies are compared to solutions that were obtained using traditional double-differenced ambiguity fixed carrier-phase Differential GPS (CP-DGPS). This offers valuable insight to assist designers of SUAV navigation systems whose applications require precise positioning.

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7

Kim, Donghoon, and Sungwook Yang. "Center-of-Gravity Variation-Driven Spherical UAV System and Its Control Law." International Journal of Aerospace Engineering 2020 (April 7, 2020): 1–14. http://dx.doi.org/10.1155/2020/5754205.

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Most of the spherical unmanned aerial vehicles (SUAVs) use control surfaces, which are functions of aileron and an elevator, to generate control torque. The work proposes a new conceptual design of an SUAV system controlled through center-of-gravity (CG) variations with its path-tracking control law designed for the system. Compared to the one using control surfaces, the concept suggested is beneficial in the aspect of the expandability of building lighter and smaller SUAVs, especially. A CG variation principle by actuating a pendulum type of a moving part is considered as a methodology for both translational and rotational motion control of an SUAV. Since variations of the moment-of-inertia (MOI) elements which resulted from the motion of the moving part affect the performance of the suggested method, the variations of MOI analysis are performed for all angular ranges of the moving part. As a result, certain angular ranges for the moving part to prevent the degradation of the path-tracking performance by the effect of the MOI changes are found. By considering the findings, numerical studies are performed for hovering, ascent, descent, and horizontal tracking missions. The applicability of the proposed SUAV system and the corresponding controller to achieve the path-tracking missions is demonstrated through the numerical simulation.

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8

Kim, Namwoo, and Yoonjin Yoon. "Cooperative sUAV Collision Avoidance Based on Satisficing Theory." International Journal of Aeronautical and Space Sciences 20, no. 4 (June 13, 2019): 978–86. http://dx.doi.org/10.1007/s42405-019-00183-4.

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9

Gao, Tong Yue, Dong Dong Wang, Tao Fei, and Hai Lang Ge. "Attitude Decoupling Controller Design of Dual-Ducted SUAV Based on ADRC System." Applied Mechanics and Materials 536-537 (April 2014): 1143–48. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1143.

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This dual-ducted SUAV is a nonlinear and strong coupling of multiple-input and multiple-output system, and particularly between the pitch and roll channels channel coupling is strong, in order to implement effective control, it must be decoupled. The traditional methods are difficult to achieve effective control of the strong coupling of multivariable systems. For the SUAV model of nonlinear coupling characteristics, based on the establishment of the UAV attitude model, this paper designed an attitude ADRC decoupling controller. The simulation showed this ADRC decoupling controller had strong robustness and immunity, and solved the channels coupling between the pitch and roll.

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10

Hnidka, Jakub, Dalibor Rozehnal, and Karel Maňas. "Optimization of SUAV’s propeller in a hover." MATEC Web of Conferences 313 (2020): 00045. http://dx.doi.org/10.1051/matecconf/202031300045.

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Small unmanned aerial vehicles (SUAVs) have found a widespread application in past decades. However, as the criticality of the missions for which they can be used increases, the demand for improvement of their efficiency increases as well. The paper focuses on a propeller driven SUAVs of a multirotor type, equipped with an electric motor, battery and propeller. The paper presents a simplified method of calculation of the SUAV maximal endurance, if the characteristics of all components of the propulsion system are known. To improve the overall efficiency of the propulsion system of an SUAV, the correct combination of all propulsion system components is critical. However, the largest impact on the maximal endurance is, arguably, caused by the propeller. The paper proposes a simple method of optimizing the propeller characteristics for hover and compares the proposed propeller design with conventional and commercially available propellers.

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11

Жежера, Іван Володимирович. "ЗАБЕЗПЕЧЕННЯ ФУНКЦІОНАЛЬНО СТІЙКОГО РУХУ МАЛОГО АВТОНОМНОГО ЛІТАЛЬНОГО АПАРАТУ." Aerospace technic and technology, no. 5 (November 8, 2018): 4–8. http://dx.doi.org/10.32620/aktt.2018.5.01.

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The subjects of the study are the models and methods for providing functionally steady motion control of the small unmanned aerial vehicle (SUAV). The purpose of this work is the development of the method for providing functionally steady motion control of SUAV with a classical, minimally necessary composition of measuring sensors without hardware redundancy. The main task is to improve the existing diagnosing method of inertial navigation system (INS) model of SUAV, based on the combination of signals and the introduction of visual information from the onboard gyrostabilized camera, to implement the method of parrying emergency situation (ES) by applying for situational, synthetically created redundancy. The applied methods are the application of artificial system-hardware redundancy, signal-parametric approach, and the introduction of computer vision methods in the problem of angular and spatial positions calculating. As a result of the research, algorithmic dependencies of the orientation system signals were determined, which allowed to perform analysis and diagnostics with the subsequent restoration of the lost parameter due to hardware-system sensors redundancy. Conclusions. Developments in the field of providing functionally steady motion control systems for SUAV are in demand due to the need to increase the level of safety of SUAV flight upon incurrence of ES. At the same time, an obvious advantage is a work with minimal hardware redundancy of the sensors without the intervention of additional equipment. It is proved the possibility of the introduction of the optical systems (OS) as an additional source of geospatial information based on the use of visual information and computer vision methods with subsequent provision of artificial redundancy and implementation of majority calculation for providing functionally steady motion control of SUAV. It is demonstrated the practical application of the method in real conditions with the influence of artificially created ES. A functionally stable system will increase the effectiveness of existing SUAV, reduce the risk of loss of the apparatus during the flight

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12

Gao, Tong Yue, Dong Dong Wang, Tao Fei, and Hai Lang Ge. "Neural Networks Attitude Decoupling Controller Design of Dual-Ducted SUAV Based on ADRC System." Advanced Materials Research 915-916 (April 2014): 411–17. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.411.

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This dual-ducted SUAV is a nonlinear and strong coupling of multiple-input and multiple-output system, and particularly between the pitch and roll channels channel coupling is strong, in order to implement effective control, it must be decoupled. The traditional methods are difficult to achieve effective control of the strong coupling of multivariable systems. Neural network which has a strong learning ability, is able to learn from the sample and can adapt to changing learning condition. Thus, the neural network can be used to simulate the learning process of operator, and operating characteristics information of objects can be excavated from the measured data, and accordingly change the parameters of the controller and decoupling network. This paper presents a attitude control algorithm of the dual-ducted SUAV which combine ADRC algorithms with neural network decoupling control algorithm, to design a SUAV decoupling controller. The simulation results showed that the attitude control channels between the pitch and roll were independently of each other, indicating a good solution to decouple the coupling between the pitch and roll channels based on neural network algorithm.

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13

Gao, Tong Yue, Dong Dong Wang, Fei Tao, and Hai Lang Ge. "A Real-Time Online Adaptive Controller System of SUAV." Applied Mechanics and Materials 494-495 (February 2014): 1050–55. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1050.

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Since Small Unmanned Helicopter flight attitude control process has strong time-varying characteristics, and there are random disturbances, the conventional control methods with unchanged parameters are often unworkable. An on-line adaptive ADRC control system is designed in this paper. An on-line adaptive ADRC system implements a simultaneous on-line tuning of ADRC rules and output scale of ADRC control system. The flight experiment showed that the proposed adaptive ADRC system provides quicker response, smaller overshoot, higher precision, robustness and adaptive ability. It satisfies the needs of autonomous flight.

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14

Rao, Jin Jun, Zhen Jiang, Zhen Bang Gong, and Zhen Zhang. "Portable Ground Control and Test Station Design for Robotic Subminiature Unmanned Aerial Vehicles." Key Engineering Materials 439-440 (June 2010): 149–54. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.149.

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Subminiature fixed-wing Unmanned Aerial Vehicles (SUAVs) present enormous potential. In order to develop a robotic SUAV with significant levels of autonomy, a portable ground control and test station (GCTS) is studied and developed. The requirements of GCTS are analyzed and the overview of GCTS is given firstly. Then the main operation modes of digital data link module are detailed. As the core of the portable GCTS, a set of software tools, including embedded map and trajectory visualization, 3-dimention attitude viewer, avionics panel, plotting utility, mission and control configuring, flight data and mission video storage and playback, etc., are researched and developed. The flight experiments application validate that the portable GCTS satisfy most of the requirements, and mitigates the difficulties and cost of development of the robotic SUAV remarkably.

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15

Gao, Tong Yue, Dong Dong Wang, Fei Tao, and Hai Lang Ge. "Control of Small Unconventional UAV Based on an On-Line Adaptive ADRC System." Applied Mechanics and Materials 494-495 (February 2014): 1206–11. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1206.

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Recently, the UAV has become the research focus at home and abroad. this paper puts forward a unconventional type: double ducted tilting Subminiature UAV system (SUAV) , and carries out the research of the control system for this SUAV. Since SUAV flight attitude control process has strong time-varying characteristics, and there are random disturbances, the conventional control methods with unchanged parameters are often unworkable. An on-line adaptive ADRC control system is designed in this paper. An on-line adaptive ADRC system implements a simultaneous on-line tuning of ADRC rules and output scale of ADRC control system. The flight experiment showed that the proposed adaptive ADRC system provides quicker response, smaller overshoot, higher precision, robustness and adaptive ability. It satisfies the needs of autonomous flight.

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16

Yeung, Alton, Goetz Bramesfeld, Joon Chung, and Stephen Foster. "Measuring low-altitude wind gusts using the unmanned aerial vehicle GustAV." Journal of Unmanned Vehicle Systems 6, no. 4 (December 1, 2018): 235–48. http://dx.doi.org/10.1139/juvs-2017-0029.

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A small unmanned aerial vehicle (SUAV) was developed with the specific objective to explore atmospheric wind gusts at low altitudes below 500 m. These gusts have significant impact on the flight characteristics and performance of SUAVs. The SUAV carried an advanced air-data system that includes a five-hole probe, which was adapted for this specific application. In several flight tests the entire test system was qualified and gust data were recorded. The subsequent experimentally derived gust data were post-processed and compared with turbulence spectra of the MIL-HDBK-1797 von Kármán turbulence model. On the day of the flight test, the experimental results did not fully match the prediction of the von Kármán model. Meanwhile, the wind measuring apparatus were proven to be able to measure gust during flight. Therefore, a broader sampling will be required to generalize the gust measurements and be compared with the existing models.

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17

Lun, Yuebin, Peng Yao, and Yanxiang Wang. "Trajectory Optimization of SUAV for Marine Vessels Communication Relay Mission." IEEE Systems Journal 14, no. 4 (December 2020): 5014–24. http://dx.doi.org/10.1109/jsyst.2020.2975565.

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18

Almeshal, Abdullah M., Mohammad R. Alenezi, and Abdullah K. Alshatti. "Accuracy Assessment of Small Unmanned Aerial Vehicle for Traffic Accident Photogrammetry in the Extreme Operating Conditions of Kuwait." Information 11, no. 9 (September 14, 2020): 442. http://dx.doi.org/10.3390/info11090442.

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This study presents the first accuracy assessment of a low cost small unmanned aerial vehicle (sUAV) in reconstructing three dimensional (3D) models of traffic accidents at extreme operating environments. To date, previous studies have focused on the feasibility of adopting sUAVs in traffic accidents photogrammetry applications as well as the accuracy at normal operating conditions. In this study, 3D models of simulated accident scenes were reconstructed using a low-cost sUAV and cloud-based photogrammetry platform. Several experiments were carried out to evaluate the measurements accuracy at different flight altitudes during high temperature, low light, scattered rain and dusty high wind environments. Quantitative analyses are presented to highlight the precision range of the reconstructed traffic accident 3D model. Reported results range from highly accurate to fairly accurate represented by the root mean squared error (RMSE) range between 0.97 and 4.66 and a mean percentage absolute error (MAPE) between 1.03% and 20.2% at normal and extreme operating conditions, respectively. The findings offer an insight into the robustness and generalizability of UAV-based photogrammetry method for traffic accidents at extreme environments.

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19

Chung, Jin-Deog, Sung-Wook Choi, and Tae-Whan Cho. "Application of Vortex Generators on Smart Un-manned Aerial Vehicle(SUAV)." Transactions of the Korean Society of Mechanical Engineers B 31, no. 8 (August 1, 2007): 688–93. http://dx.doi.org/10.3795/ksme-b.2007.31.8.688.

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20

Chung, Jin-Deog, Sung-Wook Choi, and Tae-Whan Cho. "Application of Wingtip Fence on Smart Un-manned Aerial Vehicle(SUAV)." Transactions of the Korean Society of Mechanical Engineers B 32, no. 10 (October 1, 2008): 810–15. http://dx.doi.org/10.3795/ksme-b.2008.32.10.810.

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21

Zakaria, M., A. Hammad, and M. Moattasem. "Flight Testing for SUAV Using Log Analysis of Low-Cost Autopilot." International Conference on Aerospace Sciences and Aviation Technology 15, AEROSPACE SCIENCES (May 1, 2013): 1–10. http://dx.doi.org/10.21608/asat.2013.22092.

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22

Gao, Tong Yue, and Hai Lang Ge. "Low Cost AHRS Aids GPS Attitude Navigation System." Applied Mechanics and Materials 536-537 (April 2014): 748–55. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.748.

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Recently, the SUAV has become the research focus at home and abroad. There is a new aircraft type: double ducted tilting Subminiature UAV system, this paper put forward a new attitude navigation system:AHRS-based low-cost GPS carrier phase orientation Navigation System. AHRS aids GPS fastly fix the attitude.This article proposed application the constraint solving the ambiguity basic model, which is based on the double differential equations of the carrier phase measurement. Then we use baseline length and the inaccurate attitude angle constraint to solver integer ambiguity. By the static experimental results show that this method is fast, effective, the AHRS-GPS system can provide high accuracy navigation for SUAV.

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23

Guerra-Langan, Ana, Sergio Araujo-Estrada, and Shane Windsor. "Unmanned aerial vehicle control costs mirror bird behaviour when soaring close to buildings." International Journal of Micro Air Vehicles 12 (January 2020): 175682932094100. http://dx.doi.org/10.1177/1756829320941005.

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Small unmanned aerial vehicles (SUAVs) are suitable for many low-altitude operations in urban environments due to their manoeuvrability; however, their flight performance is limited by their on-board energy storage and their ability to cope with high levels of turbulence. Birds exploit the atmospheric boundary layer in urban environments, reducing their energetic flight costs by using orographic lift generated by buildings. This behaviour could be mimicked by fixed-wing SUAVs to overcome their energy limitations if flight control can be maintained in the increased turbulence present in these conditions. Here, the control effort required and energetic benefits for a SUAV flying parallel to buildings whilst using orographic lift was investigated. A flight dynamics and control model was developed for a powered SUAV and used to simulate flight control performance in different turbulent wind conditions. It was found that the control effort required decreased with increasing altitude and that the mean throttle required increased with greater radial distance to the buildings. However, the simulations showed that flying close to the buildings in strong wind speeds increased the risk of collision. Overall, the results suggested that a strategy of flying directly over the front corner of the buildings appears to minimise the control effort required for a given level of orographic lift, a strategy that mirrors the behaviour of gulls in high wind speeds.

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24

Zhang, Su, Kun Yang, Yang Yang, and Yi Luo. "Nonrigid Image Registration for Low-Altitude SUAV Images With Large Viewpoint Changes." IEEE Geoscience and Remote Sensing Letters 15, no. 4 (April 2018): 592–96. http://dx.doi.org/10.1109/lgrs.2018.2796136.

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25

Nowak, Aleksander. "The Proposal to “Snapshot” Raim Method for Gnss Vessel Receivers Working in Poor Space Segment Geometry." Polish Maritime Research 22, no. 4 (December 1, 2015): 3–8. http://dx.doi.org/10.1515/pomr-2015-0063.

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Abstract Nowadays, we can observe an increase in research on the use of small unmanned autonomous vessel (SUAV) to patrol and guiding critical areas including harbours. The proposal to “snapshot” RAIM (Receiver Autonomous Integrity Monitoring) method for GNSS receivers mounted on SUAV operating in poor space segment geometry is presented in the paper. Existing “snapshot” RAIM methods and algorithms which are used in practical applications have been developed for airborne receivers, thus two main assumptions have been made. The first one is that the geometry of visible satellites is strong. It means that the exclusion of any satellite from the positioning solution don’t cause significant deterioration of Dilution of Precision (DOP) coefficients. The second one is that only one outlier could appear in pseudorange measurements. In case of SUAV operating in harbour these two assumptions cannot be accepted. Because of their small dimensions, GNSS antenna is only a few decimetres above sea level and regular ships, buildings and harbour facilities block and reflect satellite signals. Thus, different approach to “snapshot” RAIM is necessary. The proposal to method based on analyses of allowable maximal separation of positioning sub-solutions with using some information from EGNOS messages is described in the paper. Theoretical assumptions and results of numerical experiments are presented.

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26

Derricott, Jeffrey C., Jacob B. Willis, Cameron K. Peterson, Kevin W. Franke, and John D. Hedengren. "Disaster Reconnaissance Using Multiple Small Unmanned Aerial Vehicles." Mechanical Engineering 141, no. 06 (June 1, 2019): S7—S11. http://dx.doi.org/10.1115/1.2019-jun5.

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Small rotorcraft unmanned air vehicles (sUAVs) are valuable tools in solving geospatial inspection challenges. One area where this is being widely explored is disaster reconnaissance [1]. Using sUAVs to collect images provides engineers and government officials critical information about the conditions before and after a disaster [2]. This is accomplished by creating high- fidelity 3D models from the sUAV’s imagery. However, using an sUAV to perform inspections is a challenging task due to constraints on the vehicle’s flight time, computational power, and data storage capabilities [3]. The approach presented in this article illustrates a method for utilizing multiple sUAVs to inspect a disaster region and merge the separate data into a single high-resolution 3D model.

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27

Freeman, Michael, Cory Vernon, Bryce Berrett, Nicole Hastings, Jeff Derricott, Jenessa Pace, Benjamin Horne, et al. "Sequential Earthquake Damage Assessment Incorporating Optimized sUAV Remote Sensing at Pescara del Tronto." Geosciences 9, no. 8 (July 29, 2019): 332. http://dx.doi.org/10.3390/geosciences9080332.

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A sequence of large earthquakes in central Italy ranging in moment magnitudes (Mw) from 4.2 to 6.5 caused significant damage to many small towns in the area. After each earthquake in 2016 (24 August and 26 October), automated small unmanned aerial vehicles (sUAV) acquired valuable imagery data for post-hazard reconnaissance in the mountain village of Pescara del Tronto, and were applied to 3D reconstruction using Structure-from-Motion (SfM). In July 2018, the site was again monitored to obtain additional imagery data capturing changes since the last visit following the 30 October 2016 Earthquake. A genetic-based mission-planning algorithm that delivers optimal viewpoints and path planning was field tested and reduced the required photos for 3D reconstruction by 9.1%. The optimized 3D model provides a better understanding of the current conditions of the village, when compared to the nadir models, by containing fewer holes on angled surfaces, including an additional 17% surface area, and with a comparable ground-sampling distance (GSD) of ≈2.4 cm/px (≈1.5 cm/px when adjusted for camera pixel density). The resulting three time-lapse models provide valuable metrics for ground motion, progression of damage, resilience of the village, and the recovery progress over a span of two years.

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Vidal, Ivan, Borja Nogales, Francisco Valera, Luis F. Gonzalez, Victor Sanchez-Aguero, Eduardo Jacob, and Cristina Cervello-Pastor. "A Multi-Site NFV Testbed for Experimentation With SUAV-Based 5G Vertical Services." IEEE Access 8 (2020): 111522–35. http://dx.doi.org/10.1109/access.2020.3001985.

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29

Yoon, Sungjun, Tahwan Cho, and Jindeog Chung. "Wind Tunnel Test of Smart Un-manned Aerial Vehicle(SUAV) for TR-E2 Configuration." Transactions of the Korean Society of Mechanical Engineers B 29, no. 1 (January 1, 2005): 35–45. http://dx.doi.org/10.3795/ksme-b.2005.29.1.035.

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30

Yoon, SunEiun, Tahwan Cho, and Jindeog Chung. "Wind Tunnel Test of Smart Un-manned Aerial Vehicle(SUAV) for TR-E2S1 Configuration." Transactions of the Korean Society of Mechanical Engineers B 29, no. 3 (March 1, 2005): 295–305. http://dx.doi.org/10.3795/ksme-b.2005.29.3.295.

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31

Zhang, Yu, Yan Zhang, Zhiguang Shi, Jinghua Zhang, and Ming Wei. "Design and Training of Deep CNN-Based Fast Detector in Infrared SUAV Surveillance System." IEEE Access 7 (2019): 137365–77. http://dx.doi.org/10.1109/access.2019.2941509.

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32

Hong, Ji-Seok, Jin-Gu Park, Myeong-Hun Sung, Chang-Soo Jeon, Hong-Gye Sung, Seock-Jae Shin, and Suk-Woo Nam. "Fuel cell system for SUAV using chemical hydride - II. Lightweight fuel cell propulsion system." Journal of the Korean Society for Aeronautical & Space Sciences 41, no. 3 (March 1, 2013): 233–39. http://dx.doi.org/10.5139/jksas.2013.41.3.233.

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33

Lee, Sang-Myeong, Tae-Seong Roh, and Dong-Whan Choi. "Defect diagnostics of SUAV gas turbine engine using hybrid SVM-artificial neural network method." Journal of Mechanical Science and Technology 23, no. 2 (February 2009): 559–68. http://dx.doi.org/10.1007/s12206-008-1119-9.

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34

Zhang, Jiadi, Ilya Kolmanovsky, and Mohammad Reza Amini. "Stochastic Drift Counteraction Optimal Control of a Fuel Cell-Powered Small Unmanned Aerial Vehicle." Energies 14, no. 5 (February 27, 2021): 1304. http://dx.doi.org/10.3390/en14051304.

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This paper investigates optimal power management of a fuel cell hybrid small unmanned aerial vehicle (sUAV) from the perspective of endurance (time of flight) maximization in a stochastic environment. Stochastic drift counteraction optimal control is exploited to obtain an optimal policy for power management that coordinates the operation of the fuel cell and battery to maximize the expected flight time while accounting for the limits on the rate of change of fuel cell power output and the orientation dependence of fuel cell efficiency. The proposed power management strategy accounts for known statistics in transitions of propeller power and climb angle during the mission, but does not require the exact preview of their time histories. The optimal control policy is generated offline using value iterations implemented in Cython, demonstrating an order of magnitude speedup as compared to MATLAB. It is also shown that the value iterations can be further sped up using a discount factor, but at the cost of decreased performance. Simulation results for a 1.5 kg sUAV are reported that illustrate the optimal coordination between the fuel cell and the battery during aircraft maneuvers, including a turnpike in the battery state of charge (SOC) trajectory. As the fuel cell is not able to support fast changes in power output, the optimal policy is shown to charge the battery to the turnpike value if starting from a low initial SOC value. If starting from a high SOC value, the battery energy is used till a turnpike value of the SOC is reached with further discharge delayed to later in the flight. For the specific scenarios and simulated sUAV parameters considered, the results indicate the capability of up to 2.7 h of flight time.

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Kim, Min-Hee, Sang-Hoon Kim, Woo-Re Kim, Chong-Am Kim, and Yu-Shin Kim. "Flow Control of Smart UAV Airfoil Using Synthetic Jet Part 1 : Flow control in Hovering Mode Using Synthetic Jet." Journal of the Korean Society for Aeronautical & Space Sciences 37, no. 12 (December 1, 2009): 1173–83. http://dx.doi.org/10.5139/jksas.2009.37.12.1173.

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Kim, Min-Hee, Sang-Hoon Kim, Woo-Re Kim, Chong-Am Kim, and Yu-Shin Kim. "Flow Control of Smart UAV Airfoil Using Synthetic Jet Part 2 : Flow control in Transition Mode Using Synthetic Jet." Journal of the Korean Society for Aeronautical & Space Sciences 37, no. 12 (December 1, 2009): 1184–91. http://dx.doi.org/10.5139/jksas.2009.37.12.1184.

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Luman, Jenifer, and Benjamin Luman. "Exploring the Utilization of Small Unmanned Aerial Vehicles (UAV) Known as Drones in Early Phase Disaster Response." Prehospital and Disaster Medicine 34, s1 (May 2019): s132. http://dx.doi.org/10.1017/s1049023x19002875.

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Introduction:Disaster Medical Response is a challenging field where opportunities for advancement are welcomed. Small Unmanned Aerial Vehicle (sUAV) technology (i.e., drones) has made enormous strides in the past few years and is poised for utilization in the early disaster response phase.Aim:To discuss current uses of UAVs, proposed utilization and logistical details, technological advancements, current deficits, and training.Methods:Our Foundation, Luman Medical, is working in the field of UAV integration for small to large scale disaster response. The concept is to equip first responders with small, relatively inexpensive, programmable drones that come equipped with hardware and software that are easy to use for inexperienced as well as skilled sUAV pilots.Discussion:These UAVs could increase ease and speed of deployment for early assessments of disaster area mapping, thermal imaging, ingress and egress routes, the discovery of survivors, communications, and delivery of supplies. Drone technology offers a new and growing type of tool in the disaster response arena. It is our hope to explore an integration that is easy, safe, and affordable to augment and enhance existing disaster response planning.

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Choi, Sungwook, Taehwan Cho, and Jindeog Chung. "Static Wind Tunnel Test of Smart Un-manned Aerial Vehicle(SUAV) for TR-S2 Configuration." Transactions of the Korean Society of Mechanical Engineers B 29, no. 6 (June 1, 2005): 755–62. http://dx.doi.org/10.3795/ksme-b.2005.29.6.755.

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Choi, Sung-Wook, Cheol-Wan Kim, Jang-Yeon Lee, and Jin-Deog Chung. "Static Wind Tunnel Test of Smart Un-manned Aerial Vehicle(SUAV) for TR-S4 Configuration." Transactions of the Korean Society of Mechanical Engineers B 30, no. 10 (October 1, 2006): 1012–18. http://dx.doi.org/10.3795/ksme-b.2006.30.10.1012.

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Hong, Ji-Seok, Won-Chul Jung, Hyeon-Jin Kim, Min-Jae Lee, Dae-Seong Jeong, Chang-Soo Jeon, Hong-Gye Sung, Seock-Jae Shin, and Suk-Woo Nam. "Fuel cell system for SUAV using chemical hydride - I. Lightweight hydrogen generation and control system." Journal of the Korean Society for Aeronautical & Space Sciences 41, no. 3 (March 1, 2013): 226–32. http://dx.doi.org/10.5139/jksas.2013.41.3.226.

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Kong, J. P., Y. S. Lee, J. D. Han, and O. S. Ahn. "Drop impact analysis of smart unmanned aerial vehicle (SUAV) landing gear and comparison with experimental data." Materialwissenschaft und Werkstofftechnik 40, no. 3 (March 2009): 192–97. http://dx.doi.org/10.1002/mawe.200900426.

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Bittar, Adriano, Neusa Maria Franco de Oliveira, and Helosman Valente de Figueiredo. "Hardware-In-the-Loop Simulation with X-Plane of Attitude Control of a SUAV Exploring Atmospheric Conditions." Journal of Intelligent & Robotic Systems 73, no. 1-4 (October 12, 2013): 271–87. http://dx.doi.org/10.1007/s10846-013-9905-8.

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You, Tengfei, Weiyang Chen, Haifeng Wang, Yang Yang, and Xinang Liu. "Automatic Garbage Scattered Area Detection with Data Augmentation and Transfer Learning in SUAV Low-Altitude Remote Sensing Images." Mathematical Problems in Engineering 2020 (October 19, 2020): 1–13. http://dx.doi.org/10.1155/2020/7307629.

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Cleaning up the garbage timely plays an important role in protecting the ecological environment of nature reserves. The traditional approach adopts manual patrol and centralized cleaning to clean up garbage, which is inefficient. In order to protect the ecological environment of nature reserves, this paper proposes an automatic garbage scattered area detection (GSAD) model based on the state-of-the-art deep learning EfficientDet method, transfer learning, data augmentation, and image blocking. The main contributions of this paper are (1) we build a garbage sample dataset based on small unmanned aerial vehicle (SUAV) low-altitude remote sensing and (2) we propose a novel data augmentation approach based on garbage scattered area detection and (3) this paper establishes a model (GSAD) for garbage scattered area detection based on data augmentation, transfer learning, and image blocking and gives future research directions. Experimental results show that the GSAD model can achieve the F1-score of 95.11% and average detection time of 1.096 s.

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Zang, Xiao Jie, Zhi Dong Zhang, and Chang Liu. "Mechanism Modeling and Analysis of a Small Unmanned Vehicles Using Vortex Lattice Method." Applied Mechanics and Materials 496-500 (January 2014): 1068–72. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1068.

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For a certain type of small unmanned aerial vehicles (SUAV), using the vortex lattice method (VLM) estimated the aerodynamic derivatives, establishing linear small-perturbation equations based on level and non-sideslipping flight. Analyzed the static stability and mode characteristics based on the dimensionless derivative and matlab simulation. Early in the design, by mechanism modeling and performance analysis for the UAV through pneumatic calculations could get a lot of valuable reference data of the UAV. This has some practical significance for system performance analysis and flight control system design.

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Stöckling, C. A., W. Pöschel, and S. A. Schulz. "Optical Simulation and Design of Spatial Heterodyne Spectrometers for Remote Sensing Applications." EPJ Web of Conferences 238 (2020): 12018. http://dx.doi.org/10.1051/epjconf/202023812018.

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We present the optical simulation and design concept of a spatial heterodyne spectrometer (SHS) for mobile applications. A framework using Python and Zemax OpticStudio was developed for the optical system design and automated tolerance analysis from the incoming light, the spectrometer and the imaging lens system to the 2D detector. The spectrometer design and the fabrication methods were validated using a test setup in the VIS spectral range for a future SHS fabrication in the LWIR spectral band operating on small unmanned aerial vehicles (SUAV) for remote sensing applications.

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Thomas, P. R., S. Bullock, U. Bhandari, and T. S. Richardson. "Fixed-wing approach techniques for complex environments." Aeronautical Journal 119, no. 1218 (August 2015): 999–1016. http://dx.doi.org/10.1017/s0001924000004292.

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AbstractThe landing approach for fixed-wing small unmanned air vehicles (SUAVs) in complex environments such as urban canyons, wooded areas, or any other obscured terrain is challenging due to the limited distance available for conventional glide slope descents. Alternative approach methods, such as deep stall and spin techniques, are beneficial for such environments but are less conventional and would benefit from further qualitative and quantitative understanding to improve their implementation. Flight tests of such techniques, with a representative remotely piloted vehicle, have been carried out for this purpose and the results are presented in this paper. Trajectories and flight data for a range of approach techniques are presented and conclusions are drawn as to the potential benefits and issues of using such techniques for SUAV landings. In particular, the stability of the vehicle on entry to a deep stall was noticeably improved through the use of symmetric inboard flaps (crow brakes). Spiral descent profiles investigated, including spin descents, produced faster descent rates and further reduced landing space requirements. However, sufficient control authority was maintainable in a spiral stall descent, whereas it was compromised in a full spin.

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Yeom, Seokwon, and In-Jun Cho. "Detection and Tracking of Moving Pedestrians with a Small Unmanned Aerial Vehicle." Applied Sciences 9, no. 16 (August 15, 2019): 3359. http://dx.doi.org/10.3390/app9163359.

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Small unmanned aircraft vehicles (SUAVs) or drones are very useful for visual detection and tracking due to their efficiency in capturing scenes. This paper addresses the detection and tracking of moving pedestrians with an SUAV. The detection step consists of frame subtraction, followed by thresholding, morphological filter, and false alarm reduction, taking into consideration the true size of targets. The center of the detected area is input to the next tracking stage. Interacting multiple model (IMM) filtering estimates the state of vectors and covariance matrices, using multiple modes of Kalman filtering. In the experiments, a dozen people and one car are captured by a stationary drone above the road. The Kalman filter and the IMM filter with two or three modes are compared in the accuracy of the state estimation. The root-mean squared errors (RMSE) of position and velocity are obtained for each target and show the good accuracy in detecting and tracking the target position—the average detection rate is 96.5%. When the two-mode IMM filter is used, the minimum average position and velocity RMSE obtained are around 0.8 m and 0.59 m/s, respectively.

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Kim, Eric J., and Ruben E. Perez. "Neuroevolutionary Control for Autonomous Soaring." Aerospace 8, no. 9 (September 17, 2021): 267. http://dx.doi.org/10.3390/aerospace8090267.

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The energy efficiency and flight endurance of small unmanned aerial vehicles (SUAVs) can be improved through the implementation of autonomous soaring strategies. Biologically inspired flight techniques such as dynamic and thermal soaring offer significant energy savings through the exploitation of naturally occurring wind phenomena for thrustless flight. Recent interest in the application of artificial intelligence algorithms for autonomous soaring has been motivated by the pursuit of instilling generalized behavior in control systems, centered around the use of neural networks. However, the topology of such networks is usually predetermined, restricting the search space of potential solutions, while often resulting in complex neural networks that can pose implementation challenges for the limited hardware onboard small-scale autonomous vehicles. In exploring a novel method of generating neurocontrollers, this paper presents a neural network-based soaring strategy to extend flight times and advance the potential operational capability of SUAVs. In this study, the Neuroevolution of Augmenting Topologies (NEAT) algorithm is used to train efficient and effective neurocontrollers that can control a simulated aircraft along sustained dynamic and thermal soaring trajectories. The proposed approach evolves interpretable neural networks in a way that preserves simplicity while maximizing performance without requiring extensive training datasets. As a result, the combined trajectory planning and aircraft control strategy is suitable for real-time implementation on SUAV platforms.

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Rao, Gang, Chuanqi He, Hanlin Chen, Xiaoping Yang, Xuhua Shi, Peng Chen, Jianmin Hu, Qi Yao, and Ci-Jian Yang. "Use of small unmanned aerial vehicle (sUAV)-acquired topography for identifying and characterizing active normal faults along the Seerteng Shan, North China." Geomorphology 359 (June 2020): 107168. http://dx.doi.org/10.1016/j.geomorph.2020.107168.

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Sanchez-Aguero, Victor, Ivan Vidal, Francisco Valera, Borja Nogales, Luciano Leonel Mendes, Wheberth Damascena Dias, and Alexandre Carvalho Ferreira. "Deploying an NFV-Based Experimentation Scenario for 5G Solutions in Underserved Areas." Sensors 21, no. 5 (March 8, 2021): 1897. http://dx.doi.org/10.3390/s21051897.

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Presently, a significant part of the world population does not have Internet access. The fifth-generation cellular network technology evolution (5G) is focused on reducing latency, increasing the available bandwidth, and enhancing network performance. However, researchers and companies have not invested enough effort into the deployment of the Internet in remote/rural/undeveloped areas for different techno-economic reasons. This article presents the result of a collaboration between Brazil and the European Union, introducing the steps designed to create a fully operational experimentation scenario with the main purpose of integrating the different achievements of the H2020 5G-RANGE project so that they can be trialed together into a 5G networking use case. The scenario encompasses (i) a novel radio access network that targets a bandwidth of 100 Mb/s in a cell radius of 50 km, and (ii) a network of Small Unmanned Aerial Vehicles (SUAV). This set of SUAVs is NFV-enabled, on top of which Virtual Network Functions (VNF) can be automatically deployed to support occasional network communications beyond the boundaries of the 5G-RANGE radio cells. The whole deployment implies the use of a virtual private overlay network enabling the preliminary validation of the scenario components from their respective remote locations, and simplifying their subsequent integration into a single local demonstrator, the configuration of the required GRE/IPSec tunnels, the integration of the new 5G-RANGE physical, MAC and network layer components and the overall validation with voice and data services.

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