具有动态映射的多移动机器人分布式自触发编队控制

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Yutong Liu, Peng Shi, Xiaojie Su, Hongjun Yu, Yue Yang
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引用次数: 0

摘要

本文提出了一种分布式自触发队形控制方案,以使一组移动机器人达到理想的队形。假设机器人具有凸多边形几何特性。在分布式编队控制器设计中引入切换模式,以平衡编队移动和机器人间的整体避碰。提出了一种基于控制更新触发时间和映射通信触发时间的双通道自触发机制,其中机器人仅发送其事件序列上的状态和映射信息。建立这一机制可以有效地平衡信息的传输量和传输消耗。引入最小控制输入更新时间和最小通信时间,增强机器人的稳定运行能力,提高系统的鲁棒性。提出了一种基于期望编队和时变碰撞条件的动态映射方案,以减少外部环境扰动对机器人运行的影响,同时提高编队的效率和鲁棒性。仿真结果验证了该分布式自触发编队控制方案的有效性和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Distributed Self-Triggered Formation Control for Multiple Mobile Robots With Dynamic Mappings

Distributed Self-Triggered Formation Control for Multiple Mobile Robots With Dynamic Mappings

This article proposes a distributed self-triggered formation control scheme for a group of mobile robots to achieve a desired formation. The robots are assumed to have convex polygon geometric properties. Switching modes are introduced into the distributed formation controller design to balance formation moving and inter-robot collision avoidance of the whole group. A dual-channel self-triggered mechanism is proposed based on the control update triggering time and mapping communication trigger time, in which robots only send their states and mapping information at their event sequences. Establishing this mechanism can effectively equalize the amount of transmitted information and transmission consumption. The minimum control input update time and communication time are introduced to reinforce the robots' ability to run stably and improve the system's robustness. A dynamic mapping scheme is developed based on the desired formation and the time-varying collision conditions to reduce the impact of external environmental perturbations on robot operation while improving the efficiency and robustness of group formation. Simulations are given to demonstrate the effectiveness and performance of the novel distributed self-triggered formation control scheme.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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