Predictive Kalman filter-based fault estimator and control for sampled-data linear time-varying systems

Jason Sheng Hong Tsai, Chao Lung Wei, Shu Mei Guo, Leang San Shieh

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

The universal state-space adaptive observer-based fault diagnosis/estimator and the high-gain property tracker for sampled-data linear slowly time-varying system with unanticipated decay factors in actuators/system states are proposed in this paper. An improved Kalman filter-based adaptive observer is proposed in this paper to achieve better estimation-based performance recovery than the conventional one. A residual generation scheme and a mechanism for auto-tuning switched gain is presented, so that the proposed methodology is applicable for the fault detection and diagnosis (FDD) for actuator and state failures to yield high tracking performance recovery. For practical implementation, this paper also takes advantage of the merit of digital redesign methodology to convert a theoretically well-designed analog controller/observer with a high-gain property into its corresponding low-gain digital controller/observer without possibly losing the high tracking/estimation as well as FDD performance recovery.

原文English
主出版物標題ISIE 2010 - 2010 IEEE International Symposium on Industrial Electronics
頁面292-297
頁數6
DOIs
出版狀態Published - 2010 12月 28
事件2010 IEEE International Symposium on Industrial Electronics, ISIE 2010 - Bari, Italy
持續時間: 2010 7月 42010 7月 7

出版系列

名字IEEE International Symposium on Industrial Electronics

Other

Other2010 IEEE International Symposium on Industrial Electronics, ISIE 2010
國家/地區Italy
城市Bari
期間10-07-0410-07-07

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程
  • 控制與系統工程

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