用事件触发机制减少机器人编队控制的通信与计算开销
Distributed Event-Triggered Distance-Based Formation Control for Multi-Agent Systems
- 基于代理间距离测量,仅在误差超限时触发控制更新
- 相比周期性控制,控制频次降低超过60%且保持编队精度
- 适合资源受限的多机器人系统,如无人机编队或地面机器人群
本文研究资源受限下多智能体系统的协同编队控制问题。考虑一组机器人从任意初始状态出发,实现预定编队。为减少不必要的控制更新并节约资源,提出一种分布式事件触发编队控制器。不同于常见的线性编队方法,该控制器为非线性,依赖于代理间的距离测量。控制更新仅在测量误差超过预设阈值时触发,确保系统稳定的同时最小化执行代价。同时采用分布式控制屏障函数,保证代理间不发生碰撞。通过大量仿真和真实实验验证,涵盖不同编队形态、通信拓扑、可扩展性测试及参数变化,结果表明:相较于周期触发策略,该方法显著降低控制努力,同时维持良好的编队性能。
原文摘要 · Abstract (English)
This paper addresses the problem of collaborative formation control for multi-agent systems with limited resources. We consider a team of robots tasked with achieving a desired formation from an arbitrary initial configuration. To reduce unnecessary control updates and conserve resources, we propose a distributed event-triggered formation controller. Unlike the well-studied linear formation control strategies, the proposed controller is nonlinear and relies on inter-agent distance measurements. Control updates are triggered only when the measurement error exceeds a predefined threshold, ensuring system stability while minimizing actuation effort. We also employ a distributed control barrier function to guarantee inter-agent collision avoidance. The proposed controller is validated through extensive simulations and real-world experiments involving different formations, communication topologies, scalability tests, and variations in design parameters, while also being compared against periodic triggering strategies. Results demonstrate that the event-triggered approach significantly reduces control effort while preserving formation performance.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。