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Simultaneous sensor and actuator fault estimation for continuous-time polytopic LPV system

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  • Neila Bedioui
  • Radhia Houimli
  • Mongi Besbes

Abstract

In this paper, we study the problem of state estimation and both actuator and sensor fault detection for Linear Polytopic Parameter-Varying (LPV) system. The contribution of this work consists on the design of a novel robust adaptive observer based on polyquadratic formulations with a new set of relaxation. An optimisation problem is given in term of Linear Matrix Inequalities (LMI) in order to guarantee the stability of the system and the asymptotic convergence of faults error. A comparative study is made to prove the efficiency of the proposed polyquadratic algorithms against the quadratic ones. The performances and effectiveness of the proposed methods are illustrated in a simulation example where constant and variable actuator and sensor faults were detected.

Suggested Citation

  • Neila Bedioui & Radhia Houimli & Mongi Besbes, 2019. "Simultaneous sensor and actuator fault estimation for continuous-time polytopic LPV system," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(6), pages 1290-1302, April.
    • Handle: RePEc:taf:tsysxx:v:50:y:2019:i:6:p:1290-1302
    DOI: 10.1080/00207721.2019.1599078
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    Cited by:

    1. Tmar, Zied & Wafi, Taieb & Besbes, Mongi, 2023. "Revisited control of non regular singular system by using adaptive scheduled gain - case of methanizer," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    2. Zhang, Jiancheng & Wang, Zhenhua & Zhao, Xudong & Wang, Yan & Xu, Ning, 2021. "Prescribed-time observers of LPV systems: A linear matrix inequality approach," Applied Mathematics and Computation, Elsevier, vol. 398(C).

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