基于相对方位信息和单间距测量的多智能体编队协同控制

doi:10.7527/S1000-6893.2020.24610

电子电气工程与控制

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基于相对方位信息和单间距测量的多智能体编队协同控制

叶结松¹, 龚柏春¹, 李爽¹, 都延丽¹, 郝明瑞²

1. 南京航空航天大学航天学院, 南京 211106;
2. 复杂系统控制与智能协同技术重点实验室, 北京 100074

收稿日期:2020-08-06 修回日期:2020-09-04 发布日期:2020-12-03
通讯作者: 李爽 E-mail:lishuang@nuaa.edu.cn
基金资助:
国家自然科学基金（11972182）

Multi-agent formation cooperative control using relative bearing information and single-spacing measurement

YE Jiesong¹, GONG Baichun¹, LI Shuang¹, DU Yanli¹, HAO Mingrui²

1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
2. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing 100074, China

Received:2020-08-06 Revised:2020-09-04 Published:2020-12-03
Supported by:
National Natural Science Foundation of China (11972182)

摘要/Abstract

摘要： 由多个载体组成的多智能体系统对复杂环境具有更高的适应性，能够完成传统单个载体无法完成的任务。针对多智能体编队集结与队形移动跟踪问题，提出了一种改进的多智能体编队协同控制新算法。首先，以拒止环境下跟随智能体仅能通过光学传感器测量相对方位信息为任务背景，针对"领导者——第一跟随者"结构的多智能体编队，提出了基于相对方位信息与单间距测量的控制器，使得第一跟随者智能体可以追随移动的领导者智能体，并且可以通过改变与领导者智能体的间距对编队整体队形进行缩放控制。其次，提出一种了改进的分布式控制律，使得其他跟随者智能体可以仅通过两个相对方位信息完成编队飞行。然后，根据Lyapunov第二方法，构建了系统的能量函数，验证了所提出算法的稳定性。最后，通过数值仿真实验对所提算法进行了验证。仿真结果表明，基于该控制律多智能体系统能够完成编队集结、队形缩放和编队飞行的任务。

关键词: 多智能体系统, 协同控制, 编队集结, 队形缩放, 编队飞行

Abstract: The multi-agent system composed of multiple carriers is more adaptable to complex environments and can accomplish tasks that traditional single carriers cannot. For the problem of multi-agent formation assembly and formation movement tracking, an improved new algorithm for multi-agent formation cooperative control is proposed. First, based on the task background that the follower agent can only measure relative bearing information through optical sensors in the denial environment, a control law based on relative bearing information and single distance measurement is proposed for the multi-agent formation of the "leader-first follower" structure. Then, the first follower agent can follow the moving leader agent, and the overall team shape of the formation can be zoomed and controlled by changing the distance from the first follower agent to the leader agent. Second, an improved distributed control law is proposed to enable the rest of the follower agents to complete formation flying through only two relative position information. Then, according to the second method of Lyapunov, the energy function of the system is constructed, and the stability of the proposed algorithm is verified. Finally, the effectiveness of the proposed algorithm is confirmed by numerical simulation experiments, which show that the multi-agent system based on the control law can complete the tasks of formation assembly, formation zooming and formation flying.

Key words: multi-agent system, collaborative control, formation assembly, formation scaling, formation flying

中图分类号:

V249

叶结松, 龚柏春, 李爽, 都延丽, 郝明瑞. 基于相对方位信息和单间距测量的多智能体编队协同控制[J]. 航空学报, 2021, 42(7): 324610-324610.

YE Jiesong, GONG Baichun, LI Shuang, DU Yanli, HAO Mingrui. Multi-agent formation cooperative control using relative bearing information and single-spacing measurement[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(7): 324610-324610.

参考文献

[1] ZHAO S Y, ZELAZO D. Bearing rigidity theory and its applications for control and estimation of network systems:Life beyond distance rigidity[J]. IEEE Control Systems Magazine, 2019, 39(2):66-83.
[2] MOSHTAGH N, MICHAEL N, JADBABAIE A, et al. Bearing-only control laws for balanced circular formations of ground robots[C]//Robotics:Science and Systems IV, 2008.
[3] BISHOP A N. A very relaxed control law for bearing-only triangular formation control[J]. IFAC Proceedings Volumes, 2011, 44(1):5991-5998.
[4] BISHOP A N. Distributed bearing-only quadrilateral formation control[J]. IFAC Proceedings Volumes, 2011, 44(1):4507-4512.
[5] BASIRI M, BISHOP A N, JENSFELT P. Distributed control of triangular formations with angle-only constraints[J]. Systems & Control Letters, 2010, 59(2):147-154.
[6] GUO J, ZHANG C X, LIN M J. Angle-based cooperation control of triangle formation[C]//2015 34th Chinese Control Conference (CCC). Piscataway:IEEE Press, 2015:7386-7391.
[7] ZHAO S Y, LIN F, PENG K M, et al. Distributed control of angle-constrained cyclic formations using bearing-only measurements[J]. Systems & Control Letters, 2014, 63:12-24.
[8] EREN T. Formation shape control based on bearing rigidity[J]. International Journal of Control, 2012, 85(9):1361-1379.
[9] TRINH M H, OH K K, JEONG K, et al. Bearing-only control of leader first follower formations[J]. IFAC-PapersOnLine, 2016, 49(4):7-12.
[10] VAN TRAN Q, TRINH M H, ZELAZO D, et al. Finite-time bearing-only formation control via distributed global orientation estimation[J]. IEEE Transactions on Control of Network Systems, 2019, 6(2):702-712.
[11] TRINH M H, MUKHERJEE D, ZELAZO D, et al. Finite-time bearing-only formation control[C]//2017 IEEE 56th Annual Conference on Decision and Control (CDC). Piscataway:IEEE Press, 2017:1578-1583.
[12] VAN TRAN Q, PARK S H, AHN H S. Bearing-based formation control via distributed position estimation[C]//2018 IEEE Conference on Control Technology and Applications (CCTA).Piscataway:IEEE Press, 2018:658-663.
[13] LI Z H, TNUNAY H, ZHAO S Y, et al. Bearing-only formation control with prespecified convergence time[J]. IEEE Transactions on Cybernetics,2020, PP(99):1-10.
[14] ZHAO S Y, ZELAZO D. Bearing rigidity and almost global bearing-only formation stabilization[J]. IEEE Transactions on Automatic Control, 2016, 61(5):1255-1268.
[15] LI X L, LUO X Y, ZHAO S Y. Globally convergent distributed network localization using locally measured bearings[J]. IEEE Transactions on Control of Network Systems, 2020, 7(1):245-253.
[16] TRON R. Bearing-based formation control with second-order agent dynamics[C]//2018 IEEE Conference on Decision and Control (CDC).Piscataway:IEEE Press, 2018:446-452.
[17] BISHOP A N, SUMMERS T H, ANDERSON B D O. Stabilization of stiff formations with a mix of direction and distance constraints[C]//2013 IEEE International Conference on Control Applications (CCA). Piscataway:IEEE Press, 2013:1194-1199.
[18] FATHIAN K, RACHINSKⅡ D I, SPONG M W, et al. Globally asymptotically stable distributed control for distance and bearing based multi-agent formations[C]//2016 American Control Conference (ACC). Piscataway:IEEE Press, 2016:4642-4648.
[19] ZHAO S Y, ZELAZO D. Translational and scaling formation maneuver control via a bearing-based approach[J]. IEEE Transactions on Control of Network Systems, 2017, 4(3):429-438.
[20] TRINH M H, ZHAO S Y, SUN Z Y, et al. Bearing-based formation control of a group of agents with leader-first follower structure[J]. IEEE Transactions on Automatic Control, 2019, 64(2):598-613.
[21] ZHAO S Y, LI Z H, DING Z T. Bearing-only formation tracking control of multiagent systems[J]. IEEE Transactions on Automatic Control, 2019, 64(11):4541-4554.
[22] LIU G B, ZHANG J Y, LI C C. A leader-following formation control bearing-based approach[C]//2018 Chinese Automation Congress (CAC). Piscataway:IEEE Press, 2018:4075-4080.
[23] VAN TRAN Q, AHN H. Flocking control and bearing-based formation control[C]//2018 18th International Conference on Control, Automation and Systems (ICCAS 2018). Piscataway:IEEE Press, 2018:124-129
[24] SCHIANO F, GIORDANO P R. Bearing rigidity maintenance for formations of quadrotor UAVs[C]//2017 IEEE International Conference on Robotics and Automation (ICRA).Piscataway:IEEE Press, 2017:1467-1474.
[25] SCHIANO F, FRANCHI A, ZELAZO D, et al. A rigidity-based decentralized bearing formation controller for groups of quadrotor UAVs[C]//2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway:IEEE Press, 2016:5099-5106.
[26] ZHAO S Y, SUN Z Y, ZELAZO D, et al. Laman graphs are generically bearing rigid in arbitrary dimensions[C]//2017 IEEE 56th Annual Conference on Decision and Control (CDC).Piscataway:IEEE Press, 2017:3356-3361.

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于相对方位信息和单间距测量的多智能体编队协同控制

Multi-agent formation cooperative control using relative bearing information and single-spacing measurement

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