控制重构
避碰
控制理论(社会学)
避障
非线性系统
计算机科学
多智能体系统
障碍物
碰撞
订单(交换)
分布式计算
移动机器人
机器人
控制(管理)
人工智能
业务
物理
量子力学
嵌入式系统
计算机安全
法学
政治学
财务
作者
Liwei An,Weinan Gao,Chao Deng,Wei‐Wei Che
标识
DOI:10.1109/ccdc58219.2023.10327182
摘要
Multi-Agent formation involves the motion conflicts of large numbers of physical systems, which leads to significant safety challenges in terms of collision/obstacle avoidance. This paper studies the problem of collision/obstacle avoidance formation tracking for a class of high-order strict-feedback nonlinear multi-agent systems and presents a dynamic formation reconfiguration method. First, a smooth and analytic reference trajectory is constructed, which consists of a convex combination of preset trajectory and delayed target trajectory with its coefficient adaptively adjusted by two barrier functions to avoid collisions. Then, a distributed backstepping control scheme with high-order filtering for barrier functions is proposed. Resultantly, all agents adaptively reconfigure their formation shape within the barrier function's coverage to avoid collisions with each other and obstacles, while quickly forming a pre-defined shape of formation following the target trajectory outside the barrier function's coverage. Simulation results are given to illustrate the effectiveness of the proposed scheme.
科研通智能强力驱动
Strongly Powered by AbleSci AI