Relevant bibliographies by topics / Flight trajectory

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Flight trajectory'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 June 2025

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Journal articles on the topic "Flight trajectory"

1

Magister, Tone. "Long Range Aircraft Trajectory Prediction." PROMET - Traffic&Transportation 21, no. 5 (2012): 311–18. http://dx.doi.org/10.7307/ptt.v21i5.246.

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The subject of the paper is the improvement of the aircraft future trajectory prediction accuracy for long-range airborne separation assurance. The strategic planning of safe aircraft flights and effective conflict avoidance tactics demand timely and accurate conflict detection based upon future four–dimensional airborne traffic situation prediction which is as accurate as each aircraft flight trajectory prediction. The improved kinematics model of aircraft relative flight considering flight crew intention, aircraft true airspeed variability, and atmosphere conditions is introduced in the paper. The study is focused on improved kinematics model of aircraft relative flight position error estimation. Operational airborne separation capabilities are outlined based on the comparison between the improved and simple model of aircraft relative flight. KEY WORDS: aircraft trajectory prediction, trajectory prediction error, aircraft position prediction error, flight safety
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Orlov, S. "On Optimal Trajectory in Space Flight." Journal of Advance Research in Applied Science (ISSN: 2208-2352) 3, no. 2 (2016): 38–42. http://dx.doi.org/10.53555/nnas.v3i2.662.

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Are investigated a trajectory of new type in distant, space flights unlike usual trajectories of direct flight to heavenly object (Moon) it is supposed to use asymmetry of a gravitational field and to carry out flight bypassing the most power gravitational impact on the spacecraft. It leads to economy of power for 20-30 %.
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Bolić, Tatjana, Lorenzo Castelli, Andrea De Lorenzo, and Fulvio Vascotto. "Trajectory Clustering for Air Traffic Categorisation." Aerospace 9, no. 5 (2022): 227. http://dx.doi.org/10.3390/aerospace9050227.

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Availability of different types of data and advances in data-driven techniques open the path to more detailed analyses of various phenomena. Here, we examine the insights that can be gained through the analysis of historical flight trajectories, using data mining techniques. The goal is to learn about usual (or nominal) choices airlines make in terms of routing, and their relation with aircraft types and operational flight costs. The clustering is applied to intra-European trajectories during one entire summer season, and a statistical test of independence is used to evaluate the relations between the variables of interest. Even though about half of all flights are less than 1000 km long, and mostly operated by one airline, along one trajectory, the analysis shows that, for longer flights, there exists a clear relation between the trajectory clusters and the operating airlines (in about 49% of city pairs) and/or the aircraft types (30%), and/or the flight costs (45%).
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Zheng, Zhe, Bo Zou, Wenbin Wei, and Wen Tian. "A Data-Light and Trajectory-Based Machine Learning Approach for the Online Prediction of Flight Time of Arrival." Aerospace 10, no. 8 (2023): 675. http://dx.doi.org/10.3390/aerospace10080675.

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The ability to accurately predict flight time of arrival in real time during a flight is critical to the efficiency and reliability of aviation system operations. This paper proposes a data-light and trajectory-based machine learning approach for the online prediction of estimated time of arrival at terminal airspace boundary (ETA_TAB) and estimated landing time (ELDT), while a flight is airborne. Rather than requiring a large volume of data on aircraft aerodynamics, en-route weather, and traffic, this approach uses only flight trajectory information on latitude, longitude, and speed. The approach consists of four modules: (a) reconstructing the sequence of trajectory points from the raw trajectory that has been flown, and identifying its best-matched historical trajectory which bears the most similarity; (b) predicting the remaining trajectory, based on what has been flown and the best-matched historical trajectory; this is achieved by developing a long short-term memory (LSTM) network trajectory prediction model; (c) predicting the ground speed of the flight along its predicted trajectory, iteratively using the current position and previous speed information; to this end, a gradient boosting machine (GBM) speed prediction model is developed; and (d) predicting ETA_TAB using trajectory and speed prediction from (b) and (c), and using ETA_TAB to further predict ELDT. Since LSTM and GBM models can be trained offline, online computation efforts are kept at a minimum. We apply this approach to real-world flights in the US. Based on our findings, the proposed approach yields better prediction performance than multiple alternative methods. The proposed approach is easy to implement, fast to perform, and effective in prediction, thus presenting an appeal to potential users, especially those interested in flight ETA prediction in real time but having limited data access.
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Wang, Shijin, Jiewen Chu, Jiahao Li, and Rongrong Duan. "Prediction of Arrival Flight Operation Strategies under Convective Weather Based on Trajectory Clustering." Aerospace 9, no. 4 (2022): 189. http://dx.doi.org/10.3390/aerospace9040189.

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An airport’s terminal area is the bottleneck of the air transport system. Convective weather can seriously affect the normal flight status of arrival and departure flights. At present, pilots take different flight operation strategies to avoid convective weather based on onboard radar, visual information, adverse weather experience, etc. This paper studies trajectory clustering based on the OPTICS algorithm to obtain the arrival of typical flight routes in the terminal area. Based on weather information of the planned typical flight route and flight plan information, Random Forest (RF), K-nearest Neighbor KNN (KNN), and Support Vector Machines (SVM) algorithms were used for training and establishing the Arrival Flight Operation Strategy Prediction Model (AFOSPM). In this paper, case studies of historical arrival flights in the Guangzhou (ZGGG) and Wuhan (ZHHH) terminal area were carried out. The results show that trajectory clustering results based on the OPTICS algorithm can more accurately reflect the regular flight routes of arrival flights in a terminal area. Compared to KNN and SVM, the prediction accuracy of AFOSPM based on RF is better, reaching more than 88%. On this basis, six features—including 90% VIL, weather coverage, weather duration, planned route, max VIL, and planned Arrival Gate (AF)—were used as the input features for AFOSPM, which can effectively predict various arrival flight operation strategies. For the most frequently used arrival flight operation strategies under convective weather conditions—radar guidance, AF changing, and diversion strategy—the prediction accuracy of the ZGGG and ZHHH terminal areas can exceed 95%, 85%, and 80%, respectively.
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Dancila, Bogdan D., and Ruxandra M. Botez. "Geographical area selection and construction of a corresponding routing grid used for in-flight management system flight trajectory optimization." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 5 (2016): 809–22. http://dx.doi.org/10.1177/0954410016643104.

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This paper proposes a new method for selecting an ellipse-shaped geographical area and constructing a routing grid that circumscribes the contour of the designated area. The resulting grid describes the set of points used by the flight trajectory optimization algorithms to determine an aircraft’s optimal flight trajectory as a function of given particular atmospheric conditions. This method was developed with the intent of its employment in the context of Flight Management System trajectory optimization algorithms, but can be used in Air Traffic Management environments as well. The routing grid limits the trajectory’s maximal total ground distance (between the departure and destination airports), maximizes the geographical area (for a better consideration of the wind conditions) and minimizes the number of grid nodes. The novelty of the proposed method resides in the fact that it allows a distinct and independent parameterization and control of the ellipse’s total surface, and the required size of the take-off/landing procedure maneuvering areas at the departure/destination airports. The ellipse contour constructed using this method is, therefore, well adapted to the particular configuration of the trajectory for which the optimization is performed. Each design variables’ influence is presented, as well as a set of routing grids generated for trajectories corresponding to different total flight distances, and were further compared with real flight trajectory data retrieved using the website Flight Aware.
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MASIULIONIS, Tadas, Darius MINIOTAS, Darius RUDINSKAS, Ramūnas KIKUTIS, and Gabrielė MASIULIONIENĖ. "Application of automated trajectory design for pilot flight assessment during route flights." Aviation 21, no. 3 (2017): 75–82. http://dx.doi.org/10.3846/16487788.2017.1379440.

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Flight accuracy in the airspace is becoming an increasingly difficult issue due to the expanding number of aircraft operating in it. In order to meet the needs of all airspace users, aircraft flows are being increased, and different aircraft systems that minimise the risk of aircraft accidents are being developed to ensure flight safety. However, statistically, the impact of the human factor on aviation accidents and incidents remains high. This article focuses on the assessment of pilot flight accuracy during route flights and presents a methodology based on automated assessment tunnels for accurately assessing pilot flight deviations from a pre-set flight trajectory axis both on the horizontal and vertical plane.
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Bollapragada, Srinivas, Joel Klooster, and MacKenzie Cumings. "Practice Summary: Flight Trajectory Optimization." Interfaces 43, no. 6 (2013): 547–49. http://dx.doi.org/10.1287/inte.2013.0694.

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TAKEOKA, Takumi, Masaki HURATSUKA, Shinichiro ITO, Kazuya SEO, and Junta KABAYA. "Volleyball flight trajectory aerodynamic characteristics." Proceedings of Mechanical Engineering Congress, Japan 2022 (2022): J233–04. http://dx.doi.org/10.1299/jsmemecj.2022.j233-04.

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Murrieta-Mendoza, Alejandro, Hugo Ruiz, and Ruxandra Mihaela Botez. "Horizontal flight trajectory optimization considering RTA constraints." MATEC Web of Conferences 314 (2020): 02002. http://dx.doi.org/10.1051/matecconf/202031402002.

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The increasing of flights around the world has led to various problems for the aeronautical industry such as saturated air space and higher levels of fossil fuel consumption. The way in which en-route flights are handled should be improved in order to increase airways’ capacity. A solution is to make aircraft to arrive at specific waypoints at a time constraint called Required Time of Arrival (RTA). Fossil fuel brings as a consequence the release of polluting particles to the atmosphere such as carbon dioxide and nitrogen oxides. It is thus desirable to compute the most economical trajectory in terms of fuel burn while fulfilling the RTA constraint. This article proposes a horizontal reference trajectory optimization algorithm based on the Particle Swarm Optimization technique in order to reduce fuel burn while fulfilling the RTA constraint. Results showed that for a flight without RTA constraint, up to 4% of fuel can be saved comparing against the trajectory of reference. The algorithm was normally able to meet the RTA constrain. However, aggressive RTA constraints might reduce the optimization levels of fuel compared with flights without RTA constraint.
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Dissertations / Theses on the topic "Flight trajectory"

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Kim, Eulgon. "Optimal helicopter trajectory planning for terrain following flight." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/12932.

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Schneider, Volker [Verfasser]. "Trajectory Generation for Integrated Flight Guidance / Volker Schneider." München : Verlag Dr. Hut, 2019. http://d-nb.info/1178898741/34.

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MacCormac, J. K. M. "Investigations on flight trajectory optimisation and adaptive control." Thesis, University of Bath, 1994. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238734.

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Lewis, H. O. "Hypersonic free-flight dynamic stability studies." Thesis, University of Southampton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243193.

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Yin, Feijia, Volker Grewe, Christine Frömming, and Hiroshi Yamashita. "Impact on flight trajectory characteristics when avoiding the formation of persistent contrails for transatlantic flights." Elsevier, 2018. https://publish.fid-move.qucosa.de/id/qucosa%3A72194.

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This paper studies the impacts on flight trajectories, such as lateral and vertical changes, when avoiding the formation of persistent contrails for transatlantic flights. A sophisticated Earth-System Model (EMAC) coupled with a flight routing submodel (AirTraf) and a contrail submodel (CONTRAIL) is used to optimize flight trajectories concerning the flight time and the flight distance through contrail forming regions (contrail distance). All the trajectories are calculated taking into account the effects of the actual and local meteorological parameters, e.g., wind, temperature, relative humidity, etc. A full-year simulation has been conducted based on a daily flight schedule of 103 transatlantic flights. The trade-off between the flight time and contrail distance shows a large daily variability, meaning for the same increase in flight time, the reduction in contrail distance varies from 20% to 80% depending on the daily meteorological situation. The results confirm that the overall changes in flight trajectories follow a seasonal cycle corresponding to the nature of the potential contrail coverage. In non-summer seasons, the southward and upward shifts of the trajectories are favorable to avoid the contrail formation. In summer, the northward and upward shifts are preferred. A partial mitigation strategy for up to 40% reduction in contrail distance can be achieved throughout all the seasons with a negligible increase in flight time (less than 2%), which represents a reasonable trade-off between flight time increase and contrail avoidance.
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Rademacher, Branden James. "In-flight trajectory planning and guidance for autonomous parafoils." [Ames, Iowa : Iowa State University], 2009.

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Gao, Yang. "Advances in low-thrust trajectory optimization and flight mechanics /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3115547.

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Di, Ciccio Claudio, der Aa Han van, Macias Cristina Cabanillas, Jan Mendling, and Johannes Prescher. "Detecting flight trajectory anomalies and predicting diversions in freight transportation." Elsevier, 2016. http://dx.doi.org/10.1016/j.dss.2016.05.004.

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Timely identifying flight diversions is a crucial aspect of efficient multi-modal transportation. When an airplane diverts, logistics providers must promptly adapt their transportation plans in order to ensure proper delivery despite such an unexpected event. In practice, the different parties in a logistics chain do not exchange real-time information related to flights. This calls for a means to detect diversions that just requires publicly available data, thus being independent of the communication between different parties. The dependence on public data results in a challenge to detect anomalous behavior without knowing the planned flight trajectory. Our work addresses this challenge by introducing a prediction model that just requires information on an airplane's position, velocity, and intended destination. This information is used to distinguish between regular and anomalous behavior. When an airplane displays anomalous behavior for an extended period of time, the model predicts a diversion. A quantitative evaluation shows that this approach is able to detect diverting airplanes with excellent precision and recall even without knowing planned trajectories as required by related research. By utilizing the proposed prediction model, logistics companies gain a significant amount of response time for these cases.
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Bouadi, Hakim. "Contribution to flight control law design and aircraft trajectory tracking." Thesis, Toulouse, INSA, 2013. http://www.theses.fr/2013ISAT0001/document.

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Compte tenu de la forte croissance du trafic aérien aussi bien dans les pays émergents que dans les pays développés soutenue durant ces dernières décennies, la satisfaction des exigences relatives à la sécurité et à l’environnement nécessite le développement de nouveaux systèmes de guidage. L’objectif principal de cette thèse est de contribuer à la synthèse d’une nouvelle génération de lois de guidage pour les avions de transport présentant de meilleures performances en terme de suivi de trajectoire. Il s’agit en particulier d’évaluer la faisabilité et les performances d’un système de guidage utilisant un référentiel spatial. Avant de présenter les principales approches utilisées pour le développement de lois de commande pour les systèmes de pilotage et de guidage automatiques et la génération de directives de guidage par le système de gestion du vol, la dynamique du vol d’un avion de transport est modélisée en prenant en compte d’une manière explicite les composantes du vent. Ensuite, l’intérêt de l’application de la commande adaptative dans le domaine de la conduite automatique du vol est discuté et une loi de commande adaptative pour le suivi de pente est proposée. Les principales techniques de commande non linéaires reconnues d’intérêt pour le suivi de trajectoire sont alors analysées. Finalement, une loi de commande référencée dans l’espace pour le guidage vertical d’un avion de transport est développée et est comparée avec l’approche temporelle classique. L’objectif est de réduire les erreurs de poursuite et mieux répondre aux contraintes de temps de passage en certains points de l’espace ainsi qu’à une possible contrainte de temps d’arrivée<br>Safety and environmental considerations in air transportation urge today for the development of new guidance systems with improved accuracy for spatial and temporal trajectory tracking.The main objectives of this thesis dissertation is to contribute to the synthesis of a new generation of nonlinear guidance control laws for transportation aircraft presenting enhanced trajectory tracking performances and to explore the feasibility and performances of a flight guidance system developed within a space-indexed reference with the aim of reducing tracking errors and ensuring the satisfaction of overfly time constraints as well as final arrival time constraint. Before presenting the main approaches for the design of control laws for autopilots and auto-guidance systems devoted to transport aircraft and the way current Flight Management Systems generates guidance directives, flight dynamics of transportation aircraft, including explicitly the wind components, are presented. Then, the interest for adaptive flight control is discussed and a self contained adaptive flight path tracking control for various flight conditions taking into account automatically the possible aerodynamic and thrust parametric changes is proposed. Then, the main recognized nonlinear control approaches suitable for trajectory tracking are analyzed. Finally an original vertical space-indexed guidance control law devoted to aircraft trajectory tracking is developed and compared with the classical time-indexed approach
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Wilcox, Michael Schnebly. "Trajectory Generation and Optimization for Experimental Investigation of Flapping Flight." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3953.

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Though still in relative infancy, the field of flapping flight has potential to have a far-reaching impact on human life. Nature presents a myriad of examples of successful uses of this locomotion. Human efforts in flapping flight have seen substantial improvement in recent times. Wing kinematics are a key aspect of this study. This study summarizes previous wing trajectory generators and presents a new trajectory generation method built upon previous methods. This includes a novel means of commanding unequal half-stroke durations subject to robotic trajectory continuity requirements. Additionally, previous optimization methods are improved upon. Experimental optimization is performed using the new trajectory generation method and a more traditional means. Methods for quantifying and compensating for sensor time-dependence are also discussed. Results show that the Polar Fourier Series trajectory generator advanced rapidly through the optimization process, especially during the initial phase of experimentation. The Modified Berman and Wang trajectory generator moved through the design space more slowly due to the increased number of kinematic parameters. When optimizing lift only, the trajectory generators produced similar results and kinematic forms. The findings suggest that the objective statement should be modified to reward efficiency while maintaining a certain amount of lift. It is expected that the difference between the capabilities of the two trajectory generators will become more apparent under such conditions.
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Books on the topic "Flight trajectory"

1

E, Kim, and Ames Research Center, eds. Optimal helicopter trajectory planning for terrain following flight. National Aeronautics and Space Administration, Ames Research Center, 1990.

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Parker, Jeffrey S. Low-energy lunar trajectory design. Wiley, 2014.

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Braun, Robert D. Aeroassisted orbit transfer vehicle trajectory analysis. National Aeronautics and Space Administration, Langley Research Center, 1988.

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Yuan, Jianping, Yu Cheng, Jinglang Feng, and Chong Sun. Low Energy Flight: Orbital Dynamics and Mission Trajectory Design. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6130-2.

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L, Slater G., and United States. National Aeronautics and Space Administration., eds. Departure trajectory synthesis and the intercept problem. National Aeronautics and Space Administration, 1997.

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L, Slater G., and United States. National Aeronautics and Space Administration., eds. Departure trajectory synthesis and the intercept problem. National Aeronautics and Space Administration, 1997.

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Etkin, Bernard. Critical aspects of trajectory prediction: Flight in non-uniform wind. AGARD, 1987.

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E, Kim, and Ames Research Center, eds. Optimal helicopter trajectory planning for terrain following flight: Final report. School of Aerospace Engineering, Georgia Institute of Technology, 1990.

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M, Green Steven, and Langley Research Center, eds. Flight evaluation of Center-TRACON Automation System trajectory prediction process. National Aeronautics and Space Administration, Langley Research Center, 1998.

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Salmin, V. V. Optimizat͡s︡ii͡a︡ kosmicheskikh pereletov s maloĭ ti͡a︡goĭ: Problemy sovmestnogo upravlenii͡a︡ traektornym i uglovym dvizheniem. "Mashinostroenie", 1987.

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Book chapters on the topic "Flight trajectory"

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Weiland, Claus. "Three and Six Degree of Freedom Trajectory Simulations." In Computational Space Flight Mechanics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13583-5_8.

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Harada, Akinori. "Numerical Investigation on Flight Trajectory Optimization Methods." In Lecture Notes in Electrical Engineering. Springer Japan, 2017. http://dx.doi.org/10.1007/978-4-431-56423-2_5.

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Li, Ying. "Optimization Design of Soccer Ball Flight Trajectory." In SpringerBriefs in Applied Sciences and Technology. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8652-8_4.

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Song, Zhengyu, Cong Wang, and Yong He. "Autonomous Guidance Control for Ascent Flight." In Autonomous Trajectory Planning and Guidance Control for Launch Vehicles. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0613-0_2.

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AbstractThe purpose of the guidance control is to release a payload into a prescribed target orbit (PTO) accurately. The parameters that determine an orbit are called orbital elements (OEs), which include the semi-major axis a, the eccentricity e, the argument of perigee $$\omega $$ ω , the inclination angle i, and the longitude of ascending node (LAN) or the right ascension of ascending node (RAAN) $$\Omega $$ Ω , where a and e can be converted to the perigee height $$h_p$$ h p and the apogee height $$h_a$$ h a . Thus, the guidance mission of a launcher is a typical optimal control problem with multi-terminal constraints, which requires complex iterative calculations. Considering various constraints in practical applications, such as the accuracy of inertial navigation systems and the performances of embedded computing devices (speed and storage capacity), guidance methods need to balance the mission requirements, hardware resources, and algorithm complexity. A variety of guidance methods has been developed with distinct era characteristics.
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Akimov, Alexander Nikolaevich, Vadim Vadimovich Vorobyov, and Dmitry Alexandrovich Zatuchny. "Algorithms for Adaptive Limitation of Trajectory Parameters of Aircraft Movement." In Limiting Modes of Aircraft Flight. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6329-2_4.

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Wang, Zhaonian, and Rui Jiang. "Research on Football Flight Trajectory Based on Aerodynamic." In Lecture Notes in Electrical Engineering. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4802-9_35.

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Sun, Chaoyi, Bohang Liang, Bin Zhang, and Qing Li. "Analysis of Flight Trajectory Model Based on BADA." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_445.

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Yuan, Jianping, Yu Cheng, Jinglang Feng, and Chong Sun. "Continuous Low Thrust Trajectory Design and Optimization." In Low Energy Flight: Orbital Dynamics and Mission Trajectory Design. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6130-2_2.

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Jia, Jian, Weifeng Chen, and Zixuan Wang. "Aerodynamic Parameter Estimation for Launch Vehicles." In Autonomous Trajectory Planning and Guidance Control for Launch Vehicles. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0613-0_7.

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AbstractAerodynamic force plays an important role in the flight of space launch vehicles. Therefore, obtaining accurate aerodynamic characteristics is the basis and prerequisite for establishing an aerodynamic model and designing a vehicle with excellent characteristics.
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Pourtakdoust, Seid H., and Jalal Karimi. "Constrained Motion Planning and Trajectory Optimization for Unmanned Aerial Vehicles." In Advanced UAV Aerodynamics, Flight Stability and Control. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118928691.ch17.

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Conference papers on the topic "Flight trajectory"

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Benavides, Jose V., John Kaneshige, Shivanjli Sharma, Ramesh Panda, and Mieczyslaw Steglinski. "Implementation of a Trajectory Prediction Function for Trajectory Based Operations." In AIAA Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-2198.

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Ferencoa, M., P. Koscak, P. Szabo, S. Mako, and M. Pilat. "Flight Trajectory Selection Impact on the Flight Cost." In 2019 New Trends in Aviation Development (NTAD). IEEE, 2019. http://dx.doi.org/10.1109/ntad.2019.8875535.

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Shi, Zhiyuan, Min Xu, Quan Pan, Bing Yan, and Haimin Zhang. "LSTM-based Flight Trajectory Prediction." In 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018. http://dx.doi.org/10.1109/ijcnn.2018.8489734.

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Yue, Yin, and Xiangdong Meng. "Bayesian LSTM Flight Trajectory Prediction." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10028470.

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Avanzini, Giulio. "A Frenet-based algorithm for trajectory prediction." In Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-3997.

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O'Keefe, Stephen, and David Bose. "IRVE-II Post-Flight Trajectory Reconstruction." In AIAA Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-7515.

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Cooper, Gene, and Kevin Fansler. "Extracting meteorological data from projectile trajectory." In 20th Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-3437.

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Fisch, Florian, Jakob Lenz, Florian Holzapfel, and Gottfried Sachs. "Trajectory Optimization Applied to Air Races." In AIAA Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-5930.

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Ciarcià, Marco, and Caterina Grillo. "Collision Avoidance Trajectory for an Ekranoplan." In AIAA Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-5931.

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Wang, Guangchao, Hui Chen, Kun Liu, Ruoyu Guo, and Yongliang Wei. "A Flight Trajectory Prediction Method based on Trajectory Clustering." In 2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT). IEEE, 2019. http://dx.doi.org/10.1109/iccasit48058.2019.8973001.

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Reports on the topic "Flight trajectory"

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Weinacht, Paul. A Direct-Fire Trajectory Model for Supersonic, Transonic, and Subsonic Projectile Flight. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada607593.

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Karasopoulos, Harry A., and Kevin J. Langan. Workshop on Trajectory Optimization Methods and Applications, Presentations from the 1992 AIAA Atmospheric Flight Mechanics Conference. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada259761.

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Noone, Emily, and Lydia Harriss. Hypersonic missiles. Parliamentary Office of Science and Technology, 2023. http://dx.doi.org/10.58248/pn696.

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Abstract:
This POSTnote looks at hypersonic missile technologies, efforts to develop them, potential applications, and the possible challenges they may present for missile defence and global stability. Key Points: • Hypersonic missiles combine speeds of over five times the speed of sound with significant manoeuvrability during flight. • Their manoeuvrability enables them to change trajectory during flight, making their flight-path and target difficult to predict. • They fly at lower altitudes than ballistic missiles, which means that they may be harder to track at long distances with some surface-based sensors, such as certain radar. • There are two main types of hypersonic missile: hypersonic glide vehicles (HGVs) and hypersonic cruise missiles (HCMs). • HGVs are mounted onto rocket boosters for launch and may be accelerated to speeds of Mach 20 or more. The glider then separates from the booster and flies unpowered in the Earth’s upper atmosphere at altitudes of 30-80 km, before diving towards the target. • HCMs typically have a ramjet or scramjet engine that enables them to reach hypersonic speeds at altitudes of 20-40 km. • China and Russia have reportedly deployed hypersonic missiles that could deliver conventional or nuclear weapons. The US is testing multiple hypersonic technologies. • The AUKUS agreement between the UK, US and Australia includes developing hyper-sonic and counter-hypersonic technologies. • Developing hypersonic missiles requires significant research and development challenges to be overcome, contributing to their high development and manufacturing costs. • The speed, manoeuvrability and altitude of hypersonic missiles may challenge existing missile defences, although their uses and effectiveness are still being assessed. • Defence analysts disagree about the potential implications of hypersonic missiles for global peace and stability. Some suggest they could increase the risk of conflict escalation, while others say that they will not alter the strategic balance between nuclear powers. • Arms control, export controls and other measures may help limit potential harm to peace and stability, but these approaches face challenges.
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