北京航空航天大学学报 ›› 2020, Vol. 46 ›› Issue (5): 960-977.doi: 10.13700/j.bh.1001-5965.2019.0359

• 论文 • 上一篇    下一篇

二阶多智能体系统自抗扰编队跟踪与避撞控制

姚辉, 席建祥, 王成, 胡来红   

  1. 火箭军工程大学 导弹工程学院, 西安 710025
  • 收稿日期:2019-07-03 发布日期:2020-05-19
  • 通讯作者: 席建祥 E-mail:xijx07@mails.tsinghua.edu.cn
  • 作者简介:姚辉 男,硕士研究生。主要研究方向:多无人机编队控制;席建祥 男,博士,教授,博士生导师。主要研究方向:复杂系统控制、切换系统控制、群系统控制。
  • 基金资助:
    国家自然科学基金(61867005,61763040,61703411,61503009,61574049)

Active disturbance rejection based formation tracking and collision avoidance control for second-order multi-agent system

YAO Hui, XI Jianxiang, WANG Cheng, HU Laihong   

  1. College of Missile Engineering, Rocket Force University of Engineering, Xi'an 710025, China
  • Received:2019-07-03 Published:2020-05-19

摘要: 在多智能体编队的目标跟踪任务中,智能体受环境中的障碍物的遮挡作用会丢失目标,而外部扰动会影响系统的时变编队跟踪的控制效果。为此,研究了这两种因素同时存在情况下的二阶多智能体系统时变编队跟踪和避撞控制。采用基于目标跟踪优先级的切换拓扑控制策略以实现在障碍物遮挡环境中对目标的持续跟踪,根据自抗扰理论设计包含扰动补偿项的编队跟踪控制器。首先,基于一致性方法提出切换拓扑下自抗扰时变编队跟踪控制协议,并给出一种基于跟踪微分器的编队指令生成方法;其次,设计了求解控制参数的算法并给出协议作用下系统的稳定性分析和证明;然后,基于人工势场法设计避撞控制协议;最后,提出障碍物遮挡环境下自抗扰时变编队跟踪控制协议。仿真实验结果表明:所设计的控制协议在上述两种因素存在时仍具有良好的控制效果。

关键词: 时变编队跟踪, 避撞, 自抗扰, 目标跟踪优先级, 切换拓扑

Abstract: In target tracking task for multi-agent formation, the agent will lose the target when it is blocked by obstacles in the environment and external disturbances can affect the time-varying formation tracking control for multi-agent systems. This paper studies the time-varying formation tracking and collision avoidance control for second-order multi-agent systems under the simultaneous existence of these two factors. A switching topology control strategy based on target tracking priority is adopted to achieve continuous tracking of the target in the obstacle occlusion environment. A formation tracking controller including the disturbance compensation term is designed based on active disturbance rejection theory. First, an active disturbance rejection time-varying formation target tracking control protocol is proposed for multi-agent systems with switching topologies based on consensus methods, and a formation command generation method based on tracking differentiator is presented. Then, an algorithm is designed to determine the control coefficient matrix, and the stability of the system under the protocol is analyzed and proved. Moreover, a collision avoidance control protocol is designed based on artificial potential field method. Finally, the active disturbance rejection time-varying formation target tracking and collision avoidance control protocol is proposed considering the occlusion of target tracking by obstacles in the environment. The simulation results show that the control protocol designed in this paper still has good control effect when the above two factors exist.

Key words: time-varying formation tracking, collision avoidance, active disturbance rejection, target tracking priority, switching topologies

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