速度和控制力矩受限的多个非全局性移动机器人的鲁棒有限时编队跟踪控制

IF 8.7 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Internet of Things Journal Pub Date : 2024-11-05 DOI:10.1109/JIOT.2024.3491105
Weifan Lu;Dexin Jiao;Yaqi Zhang;An-Min Zou
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引用次数: 0

摘要

本文提出了一种具有速度和控制力矩约束的多非完整移动机器人有限时间(FinT)编队跟踪控制的分布式控制协议。为了解决群体中一些追随者无法与领导者直接沟通的问题,设计了一个实用的预定义时间领导者状态观察者。利用非线性变换技术和光滑输入饱和模型,将多约束问题转化为变换状态和模型输入的有界问题。在此基础上,提出了一种基于反步法、鲁棒控制方法和自适应控制技术的分布式鲁棒FinT编队跟踪控制方案。理论分析表明,本文所设计的控制器能够保证编队跟踪的所有误差在有限时间内收敛于零邻域,并且在多个约束条件下,所有机器人都能达到期望的编队。最后,通过仿真结果验证了所提出的FinT编队跟踪控制器的有效性。
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Robust Finite-Time Formation Tracking Control of Multiple Nonholonomic Mobile Robots With Constraints on Velocities and Control Torques
In this article, a distributed control protocol is proposed for finite-time (FinT) formation tracking control of multiple nonholonomic mobile robots with constraints on velocities and control torques. To tackle the inability of some followers in the group to communicate directly with the leader, a practical predefined-time leader-state observer is devised. By applying the nonlinear transformation technique and a smooth input saturation model, the multiple constraint issue is converted into a bounded problem of the transformed states and the model input. Then, a distributed robust FinT formation tracking control scheme is proposed, based on the backstepping method, the robust control approach, and the adaptive control technique. The theoretical analysis demonstrates that the controller designed in this article is able to guarantee all errors of formation tracking to converge to a neighborhood of zero within finite time and all robots can achieve the desired formation under multiple constraints. Finally, the effectiveness of the proposed FinT formation tracking controller is verified by simulation results.
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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