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Linear discrete time-varying systems H_ ∞ fault estimation

Author: LiuShuai
Tutor: ZhongMaiYing
School: Shandong University
Course: Control Theory and Control Engineering
Keywords: To H_ ∞ failure estimates Linear discrete time-varying systems Krein space The restructuring of the new interest rates Kalman filtering
CLC: TP13
Type: Master's thesis
Year: 2007
Downloads: 81
Quote: 0
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Abstract


With the rapid development of modern industry and science and technology, production equipment increasingly large-scale, integrated, high-speed, automation and intelligence of such systems is likely to cause huge losses of personnel and property in the event of an accident. In order to improve the security and reliability of the control system, the research on fault diagnosis technology is increasingly important. The time-varying one of the characteristics of the actual system generally has yet to carry out, but for the time-varying system fault estimation problem. Based on H_ ∞ filter technology, the use of a Krein space Kalman filtering theory and the new interest rate restructuring method of linear discrete time-varying system failure estimated to study the issue. First, a simple analysis of the research background and significance of the research topic of this article, the fault diagnosis technology development status at home and abroad, a brief introduction to time-varying systems Krein space Kalman filtering theory and the new interest rate restructuring method based H_ ∞ multi-step prediction H_ ∞ multi-step smoothing and the basic principles of H_ ∞ filter main issues raised in this article will be studied as well as the work of the research to be carried out. H_ ∞ fault estimation issues for linear discrete time-varying systems research, given the use of Krein space Kalman filtering theory and the new interest rate restructuring method H_ ∞ fault estimation problem solvable necessary and sufficient conditions and fault estimator design matrix Riccati equation method , analysis of the steady-state case H_ ∞ fault estimator basic form. Expressed varying systems through reduced order processing singular system, given a general linear discrete time-varying singular systems using the Krein space with noise Kalman filtering theory to solve such singular systems with time-varying H_ ∞ fault estimation. Robust H_ ∞ fault estimation problem for a class of linear uncertain discrete time-varying state extended system H_ ∞ fault estimation into H_ ∞ fixed-lag smoothing problem, and further use of Krein space Kalman Filtering theory and new -bearing recombinant solve. Research output Time Delay of a class of linear discrete time-varying H_ ∞ fault estimation problem, Krein space white noise filtering theory and new interest-reorganization method to solve such systems affected by the delay and output of H_ ∞ white noise is estimated The problem, and the results obtained are used to solve the H_ ∞ fault estimation. Finally, a brief summary of the full text and Prospects Next major research direction.

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Automatic control theory
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