Decoupling fault detection vectors for fault detection in the TS fuzzy system

ABSTRACTThe parity space method can be applied to detect the fault of the time-invariant control system simply and effectively. However, the parity space method is greatly limited in the time-variant system. Therefore, in this paper, a TS fuzzy system is used to describe this kind of system. The sys...

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Main Authors: Wang Zheng, Lei Xiao-Gang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-01-01
Series:Automatika
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/00051144.2022.2098747
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author Wang Zheng
Lei Xiao-Gang
author_facet Wang Zheng
Lei Xiao-Gang
author_sort Wang Zheng
collection DOAJ
description ABSTRACTThe parity space method can be applied to detect the fault of the time-invariant control system simply and effectively. However, the parity space method is greatly limited in the time-variant system. Therefore, in this paper, a TS fuzzy system is used to describe this kind of system. The system parameters are obtained based on TS fuzzy rules, and the decoupled fault detection vectors for different channels are designed. Using this vector, the residual representing fault information is extracted directly. Ideally, the fault detection of different channels is decoupled. However, sometimes the fully decoupled detection vector cannot be designed, then a suboptimal decoupled fault detection vector is proposed. Simulation and verification are carried out on a steady-state system and a TS fuzzy system.
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spelling doaj.art-73bd551d40e34b9484d6bd1ef0de950d2022-12-22T03:52:53ZengTaylor & Francis GroupAutomatika0005-11441848-33802023-01-01641637210.1080/00051144.2022.2098747Decoupling fault detection vectors for fault detection in the TS fuzzy systemWang Zheng0Lei Xiao-Gang1China Key Laboratory of Photo-electricity Gas-Oil Logging and Detecting, Ministry of Education, Xi’an Shi You University, Xi’an, People’s Republic of ChinaSchool of Electronic Engineering, Xi’an Shi You University, Xi’an, People’s Republic of China4ABSTRACTThe parity space method can be applied to detect the fault of the time-invariant control system simply and effectively. However, the parity space method is greatly limited in the time-variant system. Therefore, in this paper, a TS fuzzy system is used to describe this kind of system. The system parameters are obtained based on TS fuzzy rules, and the decoupled fault detection vectors for different channels are designed. Using this vector, the residual representing fault information is extracted directly. Ideally, the fault detection of different channels is decoupled. However, sometimes the fully decoupled detection vector cannot be designed, then a suboptimal decoupled fault detection vector is proposed. Simulation and verification are carried out on a steady-state system and a TS fuzzy system.https://www.tandfonline.com/doi/10.1080/00051144.2022.2098747TS fuzzyfault detectionparity spacematrix normfuzzy control
spellingShingle Wang Zheng
Lei Xiao-Gang
Decoupling fault detection vectors for fault detection in the TS fuzzy system
Automatika
TS fuzzy
fault detection
parity space
matrix norm
fuzzy control
title Decoupling fault detection vectors for fault detection in the TS fuzzy system
title_full Decoupling fault detection vectors for fault detection in the TS fuzzy system
title_fullStr Decoupling fault detection vectors for fault detection in the TS fuzzy system
title_full_unstemmed Decoupling fault detection vectors for fault detection in the TS fuzzy system
title_short Decoupling fault detection vectors for fault detection in the TS fuzzy system
title_sort decoupling fault detection vectors for fault detection in the ts fuzzy system
topic TS fuzzy
fault detection
parity space
matrix norm
fuzzy control
url https://www.tandfonline.com/doi/10.1080/00051144.2022.2098747
work_keys_str_mv AT wangzheng decouplingfaultdetectionvectorsforfaultdetectioninthetsfuzzysystem
AT leixiaogang decouplingfaultdetectionvectorsforfaultdetectioninthetsfuzzysystem