Academic literature on the topic 'UAV Formation Flying'

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Journal articles on the topic "UAV Formation Flying"

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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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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 alo
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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 (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 (2023): 012036. http://dx.doi.org/10.1088/1742-6596/2449/1/012036.

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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 po
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Bumai, A. Y. "Methods for formation trajectories of motion of unmanned aircraft vehicles when flying around specified areas of space." «System analysis and applied information science», no. 2 (September 2, 2024): 25–29. http://dx.doi.org/10.21122/2309-4923-2024-2-25-29.

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The article analyzes various methods for constructing motion trajectories of unmanned aerial vehicles (UAVs) when flying over specified areas of space. The analytical results of the studies are presented in the form of qualitative illustrations of the methods under consideration, as well as the proposed methodology for forming an optimal UAV flight trajectory along the boundaries of a given area of space, taking into account the corresponding processes of changing the control acceleration and speed of the UAV and allowing the formation of requirements for the UAV control system at the prelimin
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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 (2018): 399–417. http://dx.doi.org/10.2478/jok-2018-0063.

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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 toward
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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 (2012): 271–77. http://dx.doi.org/10.12673/jkoni.2012.16.2.271.

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Jin, Yuxuan, Tiantian Song, Chengjie Dai, Ke Wang, and Guanghua Song. "Autonomous UAV Chasing with Monocular Vision: A Learning-Based Approach." Aerospace 11, no. 11 (2024): 928. http://dx.doi.org/10.3390/aerospace11110928.

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In recent years, unmanned aerial vehicles (UAVs) have shown significant potential across diverse applications, drawing attention from both academia and industry. In specific scenarios, UAVs are expected to achieve formation flying without relying on communication or external assistance. In this context, our work focuses on the classic leader-follower formation and presents a learning-based UAV chasing control method that enables a quadrotor UAV to autonomously chase a highly maneuverable fixed-wing UAV. The proposed method utilizes a neural network called Vision Follow Net (VFNet), which integ
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Tang, Chenchong, Beining Ying, Ruoxuan Gu, and Shengying Yang. "Research on Purely Azimuth Passive Localization Model for UAV Formation Flight." Journal of Physics: Conference Series 2861, no. 1 (2024): 012001. http://dx.doi.org/10.1088/1742-6596/2861/1/012001.

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Abstract The practical applications of unmanned aerial vehicle (UAV) formation passive localization demand high accuracy and anti-interference ability. In this paper, a novel passive localization model based on analytical geometry and improved damped Gauss-Newton optimization method is proposed, which incorporates the improved damped Gauss-Newton algorithm and the error-based iterative algorithm for real-time coordinate correction of formation. Through Matlab simulation experiments, the proposed error-based iterative algorithm can stabilize the flight formation after only 24 iterations, and th
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Zhou, Jinlun, Honghai Zhang, Mingzhuang Hua, Fei Wang, and Jia Yi. "P-DRL: A Framework for Multi-UAVs Dynamic Formation Control under Operational Uncertainty and Unknown Environment." Drones 8, no. 9 (2024): 475. http://dx.doi.org/10.3390/drones8090475.

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Unmanned aerial vehicle (UAV) formation flying is an efficient and economical operation mode for air transportation systems. To improve the effectiveness of synergetic formation control for UAVs, this paper proposes a pairwise conflict resolution approach for UAV formation through mathematical analysis and designs a dynamic pairing and deep reinforcement learning framework (P-DRL formation control framework). Firstly, a new pairwise UAV formation control theorem is proposed, which breaks down the multi-UAVs formation control problem into multiple sequential control problems involving UAV pairs
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Dissertations / Theses on the topic "UAV Formation Flying"

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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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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.
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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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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 desti
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Book chapters on the topic "UAV Formation Flying"

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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. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3610-3.ch004.

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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 (flyin
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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. CRC Press, 2021. http://dx.doi.org/10.1201/9781003164142-ch10.

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Conference papers on the topic "UAV Formation Flying"

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Antony, Anish, Shashi Ranjan Kumar, and Dwaipayan Mukherjee. "Formation Flying for Fixed Wing UAVs with Obstacle Avoidance Through Narrow Gaps." In 2024 Tenth Indian Control Conference (ICC). IEEE, 2024. https://doi.org/10.1109/icc64753.2024.10883710.

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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. 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. 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. 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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Fang, Zhifeng. "Research on Scheme of Passive Location with Bearings-only for UAV Formation Flying." In Proceedings of The 11th Academic Conference of Geology Resource Management and Sustainable Development. Aussino Academic Publishing House, 2023. http://dx.doi.org/10.52202/073371-0059.

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