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Fault Tolerant Control for T-S Fuzzy Systems with Application to NSHV

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Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 91))

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Abstract

This chapter addresses the problem of fault tolerant control for T-S fuzzy systems with actuator faults. Firstly, a general actuator fault model is proposed, which integrates time-varying bias faults and time-varying gain faults. Then, sliding mode observers (SMOs) are designed to provide a bank of residuals for fault detection and isolation (FDI). Based on Lyapunov stability theory, a novel fault diagnostic algorithm is proposed to estimate the actuator fault, which removes the classical assumption that the time derivative of the output errors should be known as in some existing work. Further, a novel fault estimation observer is designed. Utilizing the estimated actuator fault, an accommodation scheme is proposed to compensate for the effect of the fault. In addition, a sufficient condition for the existence of SMOs is derived according to Lyapunov stability theory. Finally, simulation results of near space hypersonic vehicle (NSHV) are presented to demonstrate the efficiency of the proposed approach.

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Author information

Authors and Affiliations

  1. Department of Automation, Yangzhou University, Yangzhou, China

    Qikun Shen

  2. College of Automation Engineering, Nanjing University of Aeronautics, Nanjin, Jiangsu, China

    Bin Jiang

  3. School of Electrical and Electronic Engineering, University of Adelaide, Melbourne, VIC, Australia

    Peng Shi

Authors
  1. Qikun Shen
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  2. Bin Jiang
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  3. Peng Shi
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Correspondence to Peng Shi .

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Shen, Q., Jiang, B., Shi, P. (2017). Fault Tolerant Control for T-S Fuzzy Systems with Application to NSHV. In: Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach. Studies in Systems, Decision and Control, vol 91. Springer, Cham. https://doi.org/10.1007/978-3-319-52530-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-52530-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52529-7

  • Online ISBN: 978-3-319-52530-3

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