具有规定性能的欠驱动轮式移动机器人的模糊自适应容错控制

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Control Automation and Systems Pub Date : 2024-05-28 DOI:10.1007/s12555-023-0454-z
Pingfan Liu, Shaocheng Tong
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引用次数: 0

摘要

本文研究了一类具有间歇执行器故障的非线性欠驱动轮式移动机器人(UWMR)系统的自适应模糊容错控制(FTC)问题。考虑到 UWMR 系统包含未知的非线性动力学,利用模糊逻辑系统(FLS)来逼近未知的非线性动力学。在容错控制理论的基础上,将规定性能函数引入反步控制过程,开发了模糊规定性能自适应 FTC 方案。实验证明,所提出的模糊自适应规定性能 FTC 方法能保证被控 UWMR 系统的所有信号都是有界的,即使在执行器间歇性故障的情况下,跟踪误差也能保持在规定的范围内。最后,给出了计算机仿真和比较结果,以验证所提出的 FTC 方法的有效性。
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Fuzzy Adaptive Fault-tolerant Control for Underactuated Wheeled Mobile Robot With Prescribed Performance

This paper investigates the adaptive fuzzy fault-tolerant control (FTC) problem for a class of nonlinear underactuated wheeled mobile robot (UWMR) systems with intermittent actuator faults. Considering the UWMR system contains unknown nonlinear dynamics, the fuzzy logic systems (FLSs) are utilized to approximate the unknown nonlinear dynamics. Based on the fault-tolerant control theory and introducing the prescribed performance functions into the backstepping control process, a fuzzy prescribed performance adaptive FTC scheme is developed. It is proved that the proposed fuzzy adaptive prescribed performance FTC approach can guarantee that all the signals of the controlled UWMR system are bounded, and the tracking errors are kept within the prescribed boundaries even in the presence of the intermittent actuator faults. Finally, the computer simulation and comparison results are given to validate the effectiveness of the proposed FTC approach.

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来源期刊
International Journal of Control Automation and Systems
International Journal of Control Automation and Systems 工程技术-自动化与控制系统
CiteScore
5.80
自引率
21.90%
发文量
343
审稿时长
8.7 months
期刊介绍: International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE). The journal covers three closly-related research areas including control, automation, and systems. The technical areas include Control Theory Control Applications Robotics and Automation Intelligent and Information Systems The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.
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