Active fault tolerant control using state-space self-tuning control approach

Jason Sheng-Hon Tsai, Y. Y. Lee, P. Cofie, L. S. Shieh, X. M. Chen

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

This paper presents a new fault tolerant control scheme for unknown multivariable stochastic systems by modifying the conventional state-space self-tuning control approach. For the detection of faults, a quantitative criterion is developed by comparing the innovation process errors occurring in the Kalman filter estimation algorithm, which, for faulty system recovery, a weighting matrix resetting technique is developed by adjusting and resetting the covariance matrices of the parameter estimate obtained in the Kalman filter estimation algorithm to improve the parameter estimation of the faulty systems. The proposed method can effectively cope with partially abrupt and/or gradual system faults and/or input failures with fault detection. The modified state-space self-tuning control scheme can be applied to the multivariable stochastic faulty system without requiring prior knowledge of system parameters and noise properties.

Original languageEnglish
Pages (from-to)785-797
Number of pages13
JournalInternational Journal of Systems Science
Volume37
Issue number11
DOIs
Publication statusPublished - 2006 Sep 15

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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