未知环境下轮式移动机器人故障诊断与容错控制研究进展

Duan Zhuo-hua, Cai Zi-xing, Yu Jinxia
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引用次数: 88

摘要

故障检测与诊断(FDD)和容错控制(FTC)对于轮式移动机器人(WMRs)来说越来越重要,尤其是在行星探测等未知环境中。由于wmr的可靠性和安全运行的重要性,本文综述了未知环境下wmr的FDD和FTC的研究进展。首先,简要介绍了WMRs的主要组成、典型运动学模型、故障模型以及惯性导航传感器的误差模型。其次,讨论了wmr的FDD/FTC的主要方法,包括基于多模型的方法、基于粒子滤波的方法、基于传感器融合的方法、分层容错架构等。最后,提出了该领域面临的主要挑战、难点和未来发展趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault Diagnosis and Fault Tolerant Control for Wheeled Mobile Robots under Unknown Environments: A Survey
Fault detection and diagnosis (FDD) and fault tolerant control (FTC) are increasingly important for wheeled mobile robots (WMRs), especially those in unknown environments such as planetary exploration. Due to the importance of reliability and safe operation of WMRs, this paper presents a survey of state-of-the-art in FDD & FTC of WMRs under unknown environments. Firstly, we briefly introduce main components, typical kinematics models and fault models of WMRs and error models of inertial navigation sensors. Secondly, we discuss main approaches for FDD/FTC of WMRs, including multiple model based approach, particle filter based approach, sensor fusion based approach, layered fault tolerant architecture and so on. At last, the main challenges, difficulties and some future trends for the field are offered.
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