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Distributed Cooperative Control Algorithm for Multi-UAV Mission Rendezvous 被引量:6

Distributed Cooperative Control Algorithm for Multi-UAV Mission Rendezvous
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摘要 Multiple unmanned aerial vehicles(UAVs)cooperative operation is the main form for UAVs fighting in battlefield,and multi-UAV mission rendezvous is the premise of cooperative reconnaissance and attack missions.We propose a rendezvous control strategy,which divides the rendezvous process into two parts:The loose formation rendezvous and the close formation rendezvous.In the first stage,UAVs are supposed to reach the specific target locations simultaneously and form a loose formation.A distributed control strategy based on first-order consensus algorithm is presented to achieve this goal.Then the second stage is designed based on the second-order consensus algorithm to complete the transition from the loose formation to the close formation.This process needs the speeds and heading angles of UAVs to reach an agreement.Besides,control algorithms with a virtual leader are proposed,by which the formation states can reach a specific value.Finally,simulation results show that the control algorithms are capable of realizing the mission rendezvous of multi-UAV and the consistence of UAVs′final states,which verify the effectiveness and feasibility of the designed control strategy. Multiple unmanned aerial vehicles (UAVs) cooperative operation is the main form for UAVs fighting in battlefield, and multi-UAV mission rendezvous is the premise of cooperative reconnaissance and attack missions. We propose a rendezvous control strategy, which divides the rendezvous process into two parts: The loose formation rendezvous and the close formation rendezvous. In the first stage, UAVs are supposed to reach the specific target locations simultaneously and form a loose formation. A distributed control strategy based on first-order consensus algorithm is presented to achieve this goal. Then the second stage is designed based on the second-order consensus algorithm to complete the transition from the loose formation to the close formation. This process needs the speeds and heading angles of UAVs to reach an agreement. Besides, control algorithms with a virtual leader are proposed, by which the formation states can reach a specific value. Finally, simulation results show that the control algorithms are capable of realizing the mission rendezvous of multi-UAV and the consistence of UAVs' final states, which verify the effectiveness and feasibility of the designed control strategy.
出处 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2017年第6期617-626,共10页 南京航空航天大学学报(英文版)
基金 jointly granted by the Science and Technology on Avionics Integration Laboratory the Aeronautical Science Foundation(2016ZC15008)
关键词 unmanned aerial vehicles loose formation rendezvous close formation rendezvous consensus algorithm cooperative control unmanned aerial vehicles loose formation rendezvous close formation rendezvous consensus algorithm cooperative control
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  • 1严平,丁明跃,周成平,郑昌文.飞行器多任务在线实时航迹规划[J].航空学报,2004,25(5):485-489. 被引量:27
  • 2李文皓,张珩.无人机编队飞行技术的研究现状与展望[J].飞行力学,2007,25(1):9-11. 被引量:38
  • 3季斌南.长航时无人机的特点、作用及发展动向[J].国际航空,1997(2):28-30. 被引量:29
  • 4Beard R W, McLain T W, Goodrich M A, et al. Coordinated target assignment and intercept for unmanned air vehicles[J]. IEEE Transactions on Robotics and Automation, 2002, 18(6): 911-922.
  • 5McLain T W, Beard R W. Coordination variables, coordination functions and cooperative-timing missions[J]. Journal of Guidance, Control, and Dynamics, 2005, 28(1) 150 -161.
  • 6Beard R W, MeLain T W, Nelson D B, et al. Decentralized cooperative aerial surveillance using fixed wing miniature UAVs[J]. Proceedings of the IEEE, 2006, 94(7) 1306 -1324.
  • 7Dimarogonas D V, Kyriakopoulos K J. On the rendezvous problem for multiple nonholonomic agents [J]. IEEE Transactions on Automatic Control, 2007, 52 (5) : 916- 922.
  • 8Ren W, Chao H, Bourgeous W, et al. Experimental validation consensus algorithms for multivehicle cooperative control[J]. IEEE Transactions on Control System Technology, 2008, 16(4): 745-752.
  • 9Olfati-Saber R, Fax J A, Murray R M. Consensus and cooperation in networked multi agent systems[J]. Proceedings of the IEEE, 2007, 95(1): 215- 233.
  • 10Ren W, Beard R W, Atkins E M. Information consensus in multivehicle cooperative control: collective group be havior through local interaction[J]. IEEE Control System Magazine, 2007, 27(2): 71-82.

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