Formation control of multiple nonholonomic mobile robots with limited information of a desired trajectory

Jing Wang, M. Obeng, Tianyu Yang, G. Staskevich, B. Abbe
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引用次数: 14

Abstract

In the study of task coordination for multiagent systems, formation control has received considerable attention due to its potential applications in civil and/or military prac-tices. Fundamentally, formation control problem for multiagent systems can be formulated as making a group of agents follow the desired trajectory while maintaining certain prescribed geometric distances among agents. In this paper, we consider the formation control problem for mobile robots with nonlinear dynamics and moving in a 2D environment. To address the inherent challenges due to nonlinear system dynamics and agents' limited sensing/communication capabilities, we instill an idea of integrating the recently developed distributed consensus theory into the standard feedback control, and propose a new time-varying cooperative control strategy to solve the formation control problem for multiagent systems. In particular, the proposed design only requires the local and intermittent information exchange among agents to achieve the formation control objective. More importantly, we remove the restriction on the need of the desired trajectory for every agent, and instead design a distributed observer for obtaining the desired trajectory in order to establish the formation in the design. The overall distributed formation control system stability is rigorously proved by using a contraction mapping method under the condition that the sensing/communication network among robots is sequentially complete. Simulation is provided to validate the effectiveness of the proposed design.
期望轨迹信息有限的多非完整移动机器人编队控制
在多智能体系统的任务协调研究中,编队控制由于其在民用和/或军事实践中的潜在应用而受到了相当大的关注。从根本上说,多智能体系统的群体控制问题可以表述为使一组智能体沿着期望的轨迹运动,同时保持一定的几何距离。本文研究二维环境中具有非线性动力学的移动机器人的编队控制问题。为了解决非线性系统动力学和智能体有限的感知/通信能力所带来的固有挑战,我们将最近发展的分布式共识理论融入到标准反馈控制中,并提出了一种新的时变协同控制策略来解决多智能体系统的群体控制问题。特别地,所提出的设计只需要agent之间局部和间歇的信息交换来实现群体控制目标。更重要的是,我们消除了对每个智能体需要期望轨迹的限制,而是设计了一个分布式观测器来获取期望轨迹,从而在设计中建立队形。在机器人间传感/通信网络顺序完备的条件下,采用收缩映射法严格证明了分布式编队控制系统的整体稳定性。通过仿真验证了所提设计的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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