Готові списки джерел за темами / UAV Formation Flying

Добірка наукової літератури з теми "UAV Formation Flying"

Автор: Grafiati

Опубліковано: 6 вересня 2023

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Статті в журналах з теми "UAV Formation Flying"

Cheng, Z., D. S. Necsulescu, B. Kim, and J. Z. Sasiadek. "NONLINEAR CONTROL FOR UAV FORMATION FLYING." IFAC Proceedings Volumes 41, no. 2 (2008): 791–96. http://dx.doi.org/10.3182/20080706-5-kr-1001.00136.

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Lobaty, A. A., A. Y. Bumai, and A. M. Avsievich. "Formation of unmanned aircraft trajectory when flying around prohibited areas." «System analysis and applied information science», no. 4 (January 5, 2022): 47–53. http://dx.doi.org/10.21122/2309-4923-2021-4-47-53.

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Анотація:

Considered the problem of flying over restricted areas by an unmanned aerial vehicle (UAV), which have various shapes and restrictions, set on the basis of the international airspace classification system for aviation in accordance with the Chicago Convention and the recommended principles for the formation of forbidden zones, rules for creating a flight route along forbidden zones and actions in case of border violations of restricted areas. The problem of analytical synthesis of the control acceleration of an unmanned aerial vehicle (UAV) is solved during its flight along a route passing along the boundaries of the forbidden zone of a given shape, along a given trajectory, which consists of subsequent segments located at the same height relative to the earth’s surface, in a given coordinate system. The optimal control synthesis problem is solved as an analytical definition of the optimal control of a linear non-stationary system based on the quadratic quality functional. A mathematical model of UAV motion in the horizontal plane is proposed, in the form of a system of ordinary differential equations in the Cauchy form. A law for measuring the control acceleration of the UAV’s center of mass is obtained on the basis of specifying the minimized quality functional and the corresponding constraints, which is a feature of the considered method of solving the problem. The proposed quality functional takes into account the parameters of coordinates and speed of the UAV, which correspond to the given points in the airspace, which characterize the necessary trajectory for flying around the restricted area. The derived mathematical dependences make it possible to implement them on board a UAV and minimize energy costs when guiding a UAV moving through specified points in space. Computer modeling of the derived analytical results, mathematical dependencies representing the optimal trajectory of the UAV flight along the boundaries of the forbidden zone, as well as the corresponding processes of changing the control acceleration and speed of the UAV movement was carried out, which made it possible to draw conclusions about the efficiency of the proposed method and the feasibility of its further use as a basis. for the initial stage of the synthesis of the UAV control system.

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Wang, Xiaohua, Vivek Yadav, and S. N. Balakrishnan. "Cooperative UAV Formation Flying With Obstacle/Collision Avoidance." IEEE Transactions on Control Systems Technology 15, no. 4 (July 2007): 672–79. http://dx.doi.org/10.1109/tcst.2007.899191.

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Zhao, Jianqiang, Wei Hu, Zirui Dong, and Liwen Kang. "A Study of the Purely Azimuthal Passive Positioning Problem of UAVs." Journal of Physics: Conference Series 2449, no. 1 (March 1, 2023): 012036. http://dx.doi.org/10.1088/1742-6596/2449/1/012036.

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Анотація:

Abstract In order to maintain electromagnetic silence and avoid external interference, UAV clusters usually use purely azimuthal passive positioning methods to adjust the position of UAVs when attempting formation flights. However, due to the large number of UAVs flying in formation, it is difficult to perform effective localization, although they can keep flying at an altitude based on their own sensors. Therefore, this paper establishes a passive positioning model based on the triangulation method under the condition of pure azimuthal passive positioning, solves the coordinates of the UAV position of the received signal by using the least squares problem, and designs the UAV position adjustment scheme by using the optimal scheduling model based on the immune-genetic algorithm, so as to improve the positioning accuracy and survivability of the UAV.

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Kazimierczak, Roman, Wiesław Milewski, Zdzisław Gosiewski, Leszek Ambroziak, and Cezary Kownacki. "Towards implementation of a formation flying for efficient UAV operations." Journal of KONBiN 48, no. 1 (December 1, 2018): 399–417. http://dx.doi.org/10.2478/jok-2018-0063.

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Анотація:

Abstract A flight of a UAV formation is an efficient way to implement surveillance and reconnaissance operations. The usage of a few UAVs as a formation instead of a single vehicle allows creating a distributed network of sensors, which decreases the duration of flight missions and enlarges a total field of view. From a practical point of view, implementations of formation flights require taking into account several separate aspects of flight of UAV such as a quick take-off of several aircraft, aggregating all UAVs in the same space to create swarm and collective flight of the formation towards the area of a surveillance mission. The paper presents the results of researches and experiments carried out towards practical solutions to those aspects. A magnetic launcher is an excellent appliance to put UAV in the air, and its operation could be repeated quickly. Hence, it is ideal to be used in a formation flight. The leader-follower approach based on two-stage switching control is an effective method to aggregate UAVs in the same space while they are flying over large areas. Whereas, the decentralized control of aerial flocking can be used to achieve a coherent flight of UAV formation, which is able to self-organize. Results from simulations and experiments show the effectiveness of each presented aspect and prove their usability in the implementation of formation flights.

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Park, Jin-Hee, Yeon-Joo Kim, and Jin-Wook Chung. "Dynamic Tree Formation Protocol in UAV Formation Flying Network for Disaster Monitoring." Journal of Korea Navigation Institute 16, no. 2 (April 30, 2012): 271–77. http://dx.doi.org/10.12673/jkoni.2012.16.2.271.

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Wang, Yiru, Bo Zhang, Huibing Yang, Zichun Tang, Hanxu Li, and Xuanlin Liu. "UAV Formation Adjustment Strategy Based on Greedy Criterion." Journal of Physics: Conference Series 2555, no. 1 (July 1, 2023): 012008. http://dx.doi.org/10.1088/1742-6596/2555/1/012008.

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Анотація:

Abstract In order to ensure that the UAV cluster remains electromagnetically silent during the attempted formation flight, so that the emission of electromagnetic wave signalsj is minimised, a purely azimuthal passive positioning method can be used to adjust the position of the UAVs. As it is difficult to keep the UAVs in formation flying on the same horizontal plane for a long time and the initial position information of the UAVs is not known. Therefore, this paper uses the sine and cosine theorems of in-plane triangles to connect slightly deviating UAVs to a determined UAV position, and in combination with the characteristics of the model, constructs a greedy criterion based on the minimum number of UAVs required to transmit the signal, and in this way gives an adjustment scheme for the UAV position.

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Ruan, Lang, Jin Chen, Qiuju Guo, Han Jiang, Yuli Zhang, and Dianxiong Liu. "A Coalition Formation Game Approach for Efficient Cooperative Multi-UAV Deployment." Applied Sciences 8, no. 12 (November 29, 2018): 2427. http://dx.doi.org/10.3390/app8122427.

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Анотація:

Unmanned aerial vehicle (UAV) cooperative control has been an important issue in UAV-assisted sensor networks, thanks to the considerable benefit obtained from the cooperative mechanism of UAVs being applied as a flying base station. In a coverage scenarios, the trade-off between coverage and transmission performance often makes deployment of UAVs fall into a dilemma, since both indexes are related to the distance between UAVs. To address this issue, UAV coverage and data transmission mechanism is analyzed in this paper; then, an efficient multi-UAV cooperative deployment model is proposed. The problem is modeled as a coalition formation game (CFG). The CFG with Pareto order is proved to have a stable partition. Then, an effective approach consisting of coverage deployment and coalition selection is designed, wherein UAVs can decide strategies cooperatively to achieve better coverage performance. Combining analysis of game approach, coalition selection and the position deployment algorithm based on Pareto order (CSPDA-PO) is designed to execute coverage deployment and coalition selection. Finally, simulation results are shown to validate the proposed approach based on an efficient multi-UAV cooperative deployment model.

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Shin, Hyo-Sang, Antonis F. Antoniadis, and Antonios Tsourdos. "Parametric Study on Formation Flying Effectiveness for a Blended-Wing UAV." Journal of Intelligent & Robotic Systems 93, no. 1-2 (April 26, 2018): 179–91. http://dx.doi.org/10.1007/s10846-018-0842-4.

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Erkec, Tuncay Yunus, and Chingiz Hajiyev. "Relative Navigation in UAV Applications." International Journal of Aviation Science and Technology vm01, is02 (December 30, 2020): 52–65. http://dx.doi.org/10.23890/ijast.vm01is02.0202.

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Анотація:

This paper is committed to the relative navigation of Unmanned Aerial Vehicles (UAVs) flying in formation flight. The concept and methods of swarm UAVs technology and architecture have been explained. The relative state estimation models of unmanned aerial vehicles which are based on separate systems as Inertial Navigation Systems (INS)&Global Navigation Satellite System (GNSS), Laser&INS and Vision based techniques have been compared via various approaches. The sensors are used individually or integrated each other via sensor integration for solving relative navigation problems. The UAV relative navigation models are varied as stated in operation area, type of platform and environment. The aim of this article is to understand the correlation between relative navigation systems and potency of state estimation algorithms as well during formation flight of UAV.

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Більше джерел

Дисертації з теми "UAV Formation Flying"

Challa, Vinay Reddy. "Analysis of Kinematic Constraints in Fixed-Wing UAV Formation Flying." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4694.

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Анотація:

Rise in autonomy has led to increase in usage of Unmanned Aerial Vehicles (UAVs) for various applications and has allowed the UAVs to perform complex and hazardous missions with ease. Formation of multiple UAVs finds applications in both military and civilian operations. Tasks like image mosaicking, mapping and target triangulation require multiple UAVs to maintain rigid formation while performing the mission. While maneuvering, rigid formation flying requires different speeds and bank angles from individual UAVs. However, fixed-wing UAVs have operational limits on bank-angle and speed. Bank angle and speed requirements for each UAV in formation depend essentially on the formation geometry and the maneuver. Relating to the maneuver capability of formation and the formation geometric configuration, this thesis presents a detailed analytical investigation of kinematic operating points (speed and bank angle) of fixed-wing UAVs flying in rigid formation. Represented in its speed and turn radius space, leader maneuver region is deduced abiding by kinematic constraints of all UAVs in the formation. In addition, the thesis also considers the converse problem of feasible follower configuration assignment for a given leader maneuver. The analysis derives a feasible spatial region around the leader instantaneous position defined by distance and bearing angle limits. Generating a given formation from arbitrary initial conditions and maintaining it presents another aspect in UAV formation flying. Addressing that the thesis considers a proportional-derivative control based guidance logics which command the follower heading and speed variation. Extensive validation studies are carried out using this guidance method providing insight into the dynamical nature of kinematic parameters as they vary in feasible and non-feasible formations. Considering time varying leader maneuvers and the need for smooth transition in follower kinematic parameters, the thesis proposes a virtual target based guidance methodology. Therein, the follower pursues a virtual target constructed around the desired position with respect to the leader. The proposed logic is based on constraining the virtual target’s position as a function of leader’s turning rate along an instantaneous circle centred at desired follower position, and governing the follower speed and heading direction to follow the virtual target. Engagement scenarios consider a variety of time varying leader maneuvers and present smooth variation in follower parameters with negligible errors in maintaining the formation.

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Xiang, Chong. "A two-stage formation flying strategy for UAVs." Thesis, 2006. http://spectrum.library.concordia.ca/9264/1/xiang_chong_2006.pdf.

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Анотація:

This thesis is concerned with formation flying of unmanned air vehicle (UAV) with minimum time mission requirement. It is assumed that a known finite set of different configurations exists, which characterizes the mission. This means that the desired configuration at each point in time belongs to this set. A reconfiguration strategy is then introduced which is carried out in two phases. The first phase starts upon the completion of the latest reconfiguration task. In this phase, each UAV moves to a pre-determined location which is obtained to be as close as possible to all potential next destinations given by the known set. All UAVs stay in this location during the idle time, i.e., while no new mission command is issued. The second phase begins once a new command is issued to reconfigure the formation. In this phase, all UAVs will move to the location specified by the new command. This two-stage strategy minimizes the reconfiguration time, which is quite desirable in many real-world applications. Simulation results demonstrate that the proposed strategy results in a significant reduction in the reconfiguration time.

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Частини книг з теми "UAV Formation Flying"

R., Uma Mageswari, Nallarasu Krishnan, Mohammed Sirajudeen Yoosuf, Murugan K., and Sankar Ram C. "Establishment of FANETs Using IoT-Based UAV and Its Issues Related to Mobility and Authentication." In Advances in Wireless Technologies and Telecommunication, 74–93. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3610-3.ch004.

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Анотація:

The tremendous evolution of wireless communication as well as the drastic adoption of technology by the latest computing devices known to be IoT, makes it possible for emerging applications to providing ubiquitous services. This technique transformed the quality of present lifestyle of the people. When compared with all other technologies, the mobile adhoc networks become widely adapted in many fields because of the non-requirement of centralized infrastructure support. Adopting this nature, it became easy to establish networks like WSN and also form networks using IoT devices. As FANET (flying/fast adhoc network) is known for its mobility and instant formation of network with the help of available nodes within its communication range, there is a great challenge related to mobility and authenticity of the participating devices by exempting malicious nodes. FANETs incorporate unmanned aerial vehicles and drones as a part of their communication networks. In this chapter, deployment of IoT-based FANETs along with mobility and security is handled.

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Wang, Chunyan, Zongyu Zuo, Jianan Wang, and Zhengtao Ding. "Cascade Structure Predictive Observer Design for Consensus Control with Applications to UAVs Formation Flying." In Robust Cooperative Control of Multi-Agent Systems, 185–200. CRC Press, 2021. http://dx.doi.org/10.1201/9781003164142-ch10.

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Тези доповідей конференцій з теми "UAV Formation Flying"

Hansen, Jennifer, Brent Cobleigh, Ronald Ray, M. Vachon, and Kimberly Ennix. "Vortex-induced Aerodynamic Effects on a Trailing F-18 Flying in Close Formation." In 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3432.

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Tang, Zhiyong, Longlong He, and Zhongcai Pei. "Control and formation flying for the quadrotor UAV." In 2011 International Conference on Photonics, 3D-imaging, and Visualization. SPIE, 2011. http://dx.doi.org/10.1117/12.906083.

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Wang, Xiaohua, Vivek Yadav, and Sivasubramanya Balakrishnan. "Cooperative UAV Formation Flying with Stochastic Obstacle Avoidance." In AIAA Guidance, Navigation, and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-5832.

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Challa, Vinay R., and Ashwini Ratnoo. "Analysis of UAV Kinematic Constraints for Rigid Formation Flying." In AIAA Guidance, Navigation, and Control Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-2105.

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Kang, Honggu, Jingon Joung, and Joonhyuk Kang. "Power-Efficient Formation of UAV Swarm: Just Like Flying Birds?" In GLOBECOM 2020 - 2020 IEEE Global Communications Conference. IEEE, 2020. http://dx.doi.org/10.1109/globecom42002.2020.9322373.

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Shin, Hyo-Sang, Antonis F. Antoniadis, and Antonios Tsourdos. "Parametric study on efficient formation flying for a blended-wing UAV." In 2017 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2017. http://dx.doi.org/10.1109/icuas.2017.7991453.

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Kaviyarasu, A., A. Saravanakumar, and K. Elumalai. "Software in the Loop Simulation of Formation Flying of Multi Rotor UAV." In 2019 International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2019. http://dx.doi.org/10.1109/iss1.2019.8908015.

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Fu, Xiaowei, Jiaping Zhang, Jun Chen, and Shuo Wang. "Formation Flying and Obstacle Avoidance Control of UAV Cluster Based on Backbone Network." In 2020 IEEE 16th International Conference on Control & Automation (ICCA). IEEE, 2020. http://dx.doi.org/10.1109/icca51439.2020.9264356.

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Ryan, Allison D., David L. Nguyen, and J. Karl Hedrick. "Hybrid Control for UAV-Assisted Search and Rescue." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80648.

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Анотація:

We develop a decentralized hybrid controller for fixed-wing UAVs assisting a manned helicopter in a United States Coast Guard search and rescue mission. The UAVs assist the manned helicopter by providing an expanded sensor footprint using onboard cameras. We consider two UAVs, one flying on either side of the helicopter, with constant velocity and maximum turn rate constraints. Tracking the helicopter around sharp corners will be difficult due to these constraints and the difference in path lengths for the two UAVs. To solve this problem, we propose a hybrid controller that allows the UAVs to swap positions in an attempt to improve the tracking and ground coverage performance of the formation. We discuss tracking control, the position swapping algorithm and collision avoidance. Simulation results demonstrate improved search efficiency and aircraft safety.

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Araki, Yuta, Kenji Uchiyama, and Kai Masuda. "Fault Detection and Formation Flying Reconfiguration of UAVs." In 2021 Australian & New Zealand Control Conference (ANZCC). IEEE, 2021. http://dx.doi.org/10.1109/anzcc53563.2021.9628290.

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