{"title":"Fuzzy Fault Detection Observer Design for Head-Two-Arms-Trunk System","authors":"Juntao Pan, Rongrong Li, Sujun Wang, Weiwei Zhang","doi":"10.1109/ICIEA51954.2021.9516399","DOIUrl":null,"url":null,"abstract":"This paper deals with the problem designing fault detection observer for H2AT model in restricted frequency-domain specifications. Both disturbances and fault frequencies are assumed to be known and reside in a middle-frequency range. Different from previous results, the H2AT model is represented in the N-TS fuzzy model. It allows separating the unmeasured premise variables (UPV) in the local nonlinear consequent which provides a more effective way to deal with the UPV. In order to guarantee the best robustness to disturbances and sensitivity to faults, the fault detection observer combines the $H$- / $H$∞ performances. The design conditions are obtained based on Differential Mean Value Theorem (DMVT) property. Simulation result are conducted to demonstrate the viability and validity of the presented method.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"40 1","pages":"261-266"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA51954.2021.9516399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper deals with the problem designing fault detection observer for H2AT model in restricted frequency-domain specifications. Both disturbances and fault frequencies are assumed to be known and reside in a middle-frequency range. Different from previous results, the H2AT model is represented in the N-TS fuzzy model. It allows separating the unmeasured premise variables (UPV) in the local nonlinear consequent which provides a more effective way to deal with the UPV. In order to guarantee the best robustness to disturbances and sensitivity to faults, the fault detection observer combines the $H$- / $H$∞ performances. The design conditions are obtained based on Differential Mean Value Theorem (DMVT) property. Simulation result are conducted to demonstrate the viability and validity of the presented method.