An Eigenstructure Assignment Approach to the Design of Unknown Input Fault Isolation Observer (UIFIO)
碩士 === 國立交通大學 === 控制工程系 === 82 === As the demands on safety and reliablity of automatically co- ntrolled system become more stringent,a good control system has to not only achieve the performacne requirements but also guara- tee the safety...
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ndltd-TW-082NCTU03270022016-07-18T04:09:34Z http://ndltd.ncl.edu.tw/handle/22950787411084909628 An Eigenstructure Assignment Approach to the Design of Unknown Input Fault Isolation Observer (UIFIO) 以特徵結構設計UIFIO錯誤診斷器 Li-Cheng Shen 沈里正 碩士 國立交通大學 控制工程系 82 As the demands on safety and reliablity of automatically co- ntrolled system become more stringent,a good control system has to not only achieve the performacne requirements but also guara- tee the safety concern. In this thesis, an UIFIO (unknown input fault isolation obs- erver) will be firstly proposed with eigenstructure assignment and the corresponding numerical algorithm will also be summari- zed. With the flexiblity provided by output feedback in multiva- riable systems beyond closed-loop eigenvalure assignment, the f- ault diagnostic observer decouples the structured uncertanity f- rom residual outputs and performs isolation for any possible co- mbination of failure occurrences. Furthermore, since the robust- ness of the diagnostic observer relative to unstructured uncert- ainty depends on the condition number of closed-loop eigenvecto- r set, two constrained approximations for minimizing condition number of closed-loop eigenvector assignment based on the UIFIO are proposed. With these two approximation methods, a locally optimal solution of closed- loop eigenvector set can be found to suppress the effects induced by unstructured uncertanity. Pau-Lo Hsu 徐保羅 1994 學位論文 ; thesis 84 en_US |
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Others
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NDLTD |
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碩士 === 國立交通大學 === 控制工程系 === 82 === As the demands on safety and reliablity of automatically co-
ntrolled system become more stringent,a good control system has
to not only achieve the performacne requirements but also
guara- tee the safety concern. In this thesis, an UIFIO
(unknown input fault isolation obs- erver) will be firstly
proposed with eigenstructure assignment and the corresponding
numerical algorithm will also be summari- zed. With the
flexiblity provided by output feedback in multiva- riable
systems beyond closed-loop eigenvalure assignment, the f- ault
diagnostic observer decouples the structured uncertanity f- rom
residual outputs and performs isolation for any possible co-
mbination of failure occurrences. Furthermore, since the
robust- ness of the diagnostic observer relative to
unstructured uncert- ainty depends on the condition number of
closed-loop eigenvecto- r set, two constrained approximations
for minimizing condition number of closed-loop eigenvector
assignment based on the UIFIO are proposed. With these two
approximation methods, a locally optimal solution of closed-
loop eigenvector set can be found to suppress the effects
induced by unstructured uncertanity.
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author2 |
Pau-Lo Hsu |
author_facet |
Pau-Lo Hsu Li-Cheng Shen 沈里正 |
author |
Li-Cheng Shen 沈里正 |
spellingShingle |
Li-Cheng Shen 沈里正 An Eigenstructure Assignment Approach to the Design of Unknown Input Fault Isolation Observer (UIFIO) |
author_sort |
Li-Cheng Shen |
title |
An Eigenstructure Assignment Approach to the Design of Unknown Input Fault Isolation Observer (UIFIO) |
title_short |
An Eigenstructure Assignment Approach to the Design of Unknown Input Fault Isolation Observer (UIFIO) |
title_full |
An Eigenstructure Assignment Approach to the Design of Unknown Input Fault Isolation Observer (UIFIO) |
title_fullStr |
An Eigenstructure Assignment Approach to the Design of Unknown Input Fault Isolation Observer (UIFIO) |
title_full_unstemmed |
An Eigenstructure Assignment Approach to the Design of Unknown Input Fault Isolation Observer (UIFIO) |
title_sort |
eigenstructure assignment approach to the design of unknown input fault isolation observer (uifio) |
publishDate |
1994 |
url |
http://ndltd.ncl.edu.tw/handle/22950787411084909628 |
work_keys_str_mv |
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