標題: Robust fault detection and isolation with unstructured uncertainty using eigenstructure assignment
作者: Shen, LC
Chang, SK
Hsu, PL
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 1-Jan-1998
摘要: A numerical implementation is presented for the eigenstructure assignment approach to the design of a robust fault detection and isolation observer, By formulating the problem of multiple fault isolation in an eigenstructure, we develop a parametric characterization of all allowable eigenspaces, which provides a diagnostic observer capable of multiple fault isolation. In addition, a well-conditioned design of the allowable eigenvectors is shown to reduce the effect of the sus;em unstructured uncertainty. The resulting diagnostic observer is robust to unstructured modeling errors without losing fault detection sensitivity. A procedure for the synthesis of a reduced order diagnostic observer is also presented to increase the computational efficiency of the proposed observer.
URI: http://hdl.handle.net/11536/79
ISSN: 0731-5090
期刊: JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
Volume: 21
Issue: 1
起始頁: 50
結束頁: 57
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