文章基本信息

标题：Least Squares Estimation and Fuzzy Logic Based Condition Monitoring for High Redundancy Actuator
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作者：Hasmawati Antong ; Roger Dixon ; Christopher P. Ward 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：3189-3194
DOI：10.1016/j.ifacol.2017.08.341
语种：English
出版社：Elsevier
摘要：AbstractThe high redundancy actuator concept that is inspired by biomimetics is an approach to fault tolerant actuator that aims to provide fault tolerance using relatively large number of actuation elements. The actuation elements are assembled in parallel and series configuration to form a single actuator that has intrinsic fault tolerance. During normal operations, it is possible that some of these elements are operational and some are faulty. As one or more of the actuation elements fail, the actuator capability will fall below that required by the application. Therefore, it is essential to have a condition monitoring algorithm to detect early signs of deterioration so that maintenance activity can be planned to avoid failure and to reduce down time and maintenance costs. This paper discusses the condition monitoring algorithm which is based on least squares parameter estimation and fuzzy logic to give indication of either the actuator is still in healthy condition or some elements are started to fail.
关键词：Keywordsfuzzy logichigh redundancy actuatorleast squares estimationlock-up faultloose faultmodel-based condition monitoring