Igital redesign of the decentralized adaptive control for linear large-scale systems with actuator faults

Jason Sheng-Hon Tsai, M. H. Lin, Shu-Mei Guo, P. Y. Sun, L. S. Shieh, C. R. Liu

研究成果: Conference contribution

摘要

A novel digital redesign of the analog model-reference-based decentralized adaptive controller is proposed for the sampled-data large scale system consisting of N interconnected linear subsystems with actuator faults. The adaptation of the analog controller gain is derived by using the model-reference adaptive control theory based on Lyapunov method. In this paper, it is shown that the sampled-data decentralized adaptive control system is theoretically possible to asymptotically track the desired output with a specified performance even when actuator faults occur. Then, a method of actuator fault recovery is proposed. With the estimated faults, one can use the proposed input compensation method to solve actuator faults. In this paper, we also introduce a prediction-based digital redesign method to develop the corresponding sampled-data controller for the sampled-data decentralized adaptive control systems.

原文English
主出版物標題Proceedings of the 10th IASTED International Conference on Control and Applications, CA 2008
頁面107-112
頁數6
出版狀態Published - 2008 十二月 1
事件10th IASTED International Conference on Control and Applications, CA 2008 - Quebec City, QC, United States
持續時間: 2008 五月 262008 五月 28

出版系列

名字Proceedings of the 10th IASTED International Conference on Control and Applications, CA 2008

Other

Other10th IASTED International Conference on Control and Applications, CA 2008
國家United States
城市Quebec City, QC
期間08-05-2608-05-28

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering

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