Journal of applied mathematics & informatics

The Korean Society for Computational and Applied Mathematics (한국전산응용수학회)
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SIMULTANEOUS FAULT DETECTION AND CONTROL OF LINEAR TIME-INVARIANT SYSTEM VIA DISTURBANCE OBSERVER-BASED CONTROL APPROACH

  • PANG, GUOCHEN (School of Automation and Electrical Engineering, Linyi University) ;
  • JIAO, YU (School of Automation and Electrical Engineering, Linyi University) ;
  • ZHANG, HONGZI (School of Automation and Electrical Engineering, Linyi University) ;
  • CHEN, XIANGYONG (School of Automation and Electrical Engineering, Linyi University, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, China University of Geosciences, and Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education) ;
  • ZHANG, ANCAI (School of Automation and Electrical Engineering, Linyi University) ;
  • QIU, JIANLONG (School of Automation and Electrical Engineering, Linyi University)
  • Received : 2021.01.30
  • Accepted : 2021.09.08
  • Published : 2022.01.30
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Abstract

This paper concerns the problem of simultaneous fault detection and disturbance reject control(SFDDRC) for a class of linear time-invariant system. In the framework of fault detection, residual generators are required to be robust to disturbances existing in the system. Different from most of the existing simultaneous fault and control(SFDC) methods, SFDDRC rejects the influences of disturbances on residual generators by disturbance observer-based control(DOBC). This not only effectively improves the accuracy of fault detection, but also solves the problem that most of the existing SFDC methods require that the disturbance must be bounded. Finally, a numerical example is given to verify the validity of the method.

Keywords

Acknowledgement

This work was supported by Linyi City Key Research and Development Project(Grant Nos. 28118001), the National Natural Science Foundation of Shandong Province (Grant Nos. ZR2017PF014), Open fund for key laboratories of the Ministry of Education (Grant Nos. 3208007301), National Natural Science Foundation of China(Grant Nos. 62173175, 12026235, 12026234, 61903170, 11805091, 61773193, 61877033 and 61833005), and by 111 project under Grant B17040.

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