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中文摘要: 研究了在含有凸障碍物、非凸障碍物和窄缝等复杂环境下多智能体系统的安全编队控制。基于有限时间收敛控制障碍函数 (Finite-time Convergence Control Barrier Function,FCBF) 和半定规划区域迭代膨胀 (Iterative Regional Inflation by Semi-definite programming,IRIS),提出了一种安全编队控制算法,保证多智能体系统满足安全性的同时趋向目标位置。首先通过 IRIS 将无障碍物区域抽象为椭圆安全区域,并将椭圆圆心设立为路标点,然后用 FCBF 来保证多智能体系统安全编队通过路标点的同时到达目标位置。由几何约束和椭圆安全区域构建 FCBF,通过确保前向不变性来实现安全性。还采用了多智能体系统的分布式控制,为每个智能体设计基于 QP 的控制器,即以构建的控制障碍函数(Control Barrier Function, CBF)作为约束求解各自的二次规划问题 (Quadratic Programming,QP)。最后通过仿真验证了算法在复杂环境下是可行的。
Abstract:This paper studies the safety formation control of multi-agent systems in complex environments containing convex obstacles, non-convex obstacles and narrow gaps. Based on the Finite-time convergence Control Barrier Function(FCBF) and Iterative Regional Inflation by Semi-definite programming(IRIS), a safety formation control law is proposed to ensure the safety of the multi-agent systems while moving towards the target position. In particular, IRIS is used to abstract the obstacle-free space into elliptical safety regions, and the centers of the ellipse are set as a navigation point. FCBF is used to ensure that the multi-agent systems safely reach the target position while passing through the navigation point. FCBF is designed with geometric constraints and elliptical safety regions to achieve safety by ensuring forward invariance. This paper also incorporates the distributed control of multi-agent systems and designs a QP-based controller for each agent, that is, solves quadratic programming problems (QP) by using the designed CBFs as constraints. Finally, the feasibility of the algorithm in complex environments is verified by simulation.
keywords: multi-agent formation control barrier function distributed control quadratic programs path planning
文章编号:20250203 中图分类号:TP242.6 文献标志码:
基金项目:
作者 | 单位 |
郭许发 | 哈尔滨工业大学(深圳) 机电工程与自动化学院 |
梅杰 | 哈尔滨工业大学(深圳) 机电工程与自动化学院 |
柴敬轩 | 哈尔滨工业大学(深圳) 机电工程与自动化学院 |
龚有敏 | 哈尔滨工业大学(深圳) 机电工程与自动化学院 |
引用文本:
郭许发,梅杰,柴敬轩,龚有敏.复杂环境下多智能体系统的安全编队控制[J].飞控与探测,2025,8(2):18-26.
郭许发,梅杰,柴敬轩,龚有敏.复杂环境下多智能体系统的安全编队控制[J].飞控与探测,2025,8(2):18-26.