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fault-tolerant control for time-varied actuator fault of nonlinear system

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  • Chunsheng Liu
  • Bin Jiang

Abstract

This paper studies H∞ fault-tolerant control for a class of uncertain nonlinear systems subject to time-varied actuator faults. A radial basis function neural network is utilised to approximate the unknown nonlinear functions; an updating rule is designed to estimate on-line time-varied fault of actuator; and the controller with the states feedback and faults estimation is applied to compensate for the effects of fault and minimise H∞ performance criteria in order to get a desired H∞ disturbance rejection constraint. Sufficient conditions are derived, which guarantees that the closed-loop system is robustly stable and satisfies the H∞ performance in both normal and fault cases. In order to reduce computing cost, a simplified algorithm of matrix Riccati inequality is given. A spacecraft model is presented to demonstrate the effectiveness of the proposed methods.

Suggested Citation

  • Chunsheng Liu & Bin Jiang, 2014. "fault-tolerant control for time-varied actuator fault of nonlinear system," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 2447-2457, December.
    • Handle: RePEc:taf:tsysxx:v:45:y:2014:i:12:p:2447-2457
    DOI: 10.1080/00207721.2013.770937
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