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Design of unknown input observers and robust fault detection filters
Fault detection filters are a special class of observers that can generate directional residuals for the purpose of fault isolation. This paper proposes a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by...
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Published in: | International journal of control 1996-01, Vol.63 (1), p.85-105 |
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container_end_page | 105 |
container_issue | 1 |
container_start_page | 85 |
container_title | International journal of control |
container_volume | 63 |
creator | CHEN, JIE PATTON, RON J. ZHANG, HONG-YUE |
description | Fault detection filters are a special class of observers that can generate directional residuals for the purpose of fault isolation. This paper proposes a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties. This is done by combining the unknown input observer and fault detection filter principles. The paper proposes a new full-order unknown input observer, and gives necessary and sufficient conditions for its existence. After the disturbance de-coupling conditions are satisfied, the remaining design freedom can be used to make the residual have the directional property, based on the fault detection filter principle. A nonlinear jet engine system is used to illustrate the robust fault isolation approach presented. It is shown that linearization errors can be approximately treated as unknown disturbances and be de-coupled in the design of a robust fault detection filter. Simulation results show that mis-isolation of faults can be avoided using the robust scheme. |
doi_str_mv | 10.1080/00207179608921833 |
format | article |
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This paper proposes a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties. This is done by combining the unknown input observer and fault detection filter principles. The paper proposes a new full-order unknown input observer, and gives necessary and sufficient conditions for its existence. After the disturbance de-coupling conditions are satisfied, the remaining design freedom can be used to make the residual have the directional property, based on the fault detection filter principle. A nonlinear jet engine system is used to illustrate the robust fault isolation approach presented. It is shown that linearization errors can be approximately treated as unknown disturbances and be de-coupled in the design of a robust fault detection filter. Simulation results show that mis-isolation of faults can be avoided using the robust scheme.</description><identifier>ISSN: 0020-7179</identifier><identifier>EISSN: 1366-5820</identifier><identifier>DOI: 10.1080/00207179608921833</identifier><identifier>CODEN: IJCOAZ</identifier><language>eng</language><publisher>London: Taylor & Francis Group</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Control theory. 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This paper proposes a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties. This is done by combining the unknown input observer and fault detection filter principles. The paper proposes a new full-order unknown input observer, and gives necessary and sufficient conditions for its existence. After the disturbance de-coupling conditions are satisfied, the remaining design freedom can be used to make the residual have the directional property, based on the fault detection filter principle. A nonlinear jet engine system is used to illustrate the robust fault isolation approach presented. It is shown that linearization errors can be approximately treated as unknown disturbances and be de-coupled in the design of a robust fault detection filter. Simulation results show that mis-isolation of faults can be avoided using the robust scheme.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Control theory. 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Systems</topic><topic>Exact sciences and technology</topic><topic>Modelling and identification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>CHEN, JIE</creatorcontrib><creatorcontrib>PATTON, RON J.</creatorcontrib><creatorcontrib>ZHANG, HONG-YUE</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>International journal of control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>CHEN, JIE</au><au>PATTON, RON J.</au><au>ZHANG, HONG-YUE</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of unknown input observers and robust fault detection filters</atitle><jtitle>International journal of control</jtitle><date>1996-01-01</date><risdate>1996</risdate><volume>63</volume><issue>1</issue><spage>85</spage><epage>105</epage><pages>85-105</pages><issn>0020-7179</issn><eissn>1366-5820</eissn><coden>IJCOAZ</coden><abstract>Fault detection filters are a special class of observers that can generate directional residuals for the purpose of fault isolation. This paper proposes a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties. This is done by combining the unknown input observer and fault detection filter principles. The paper proposes a new full-order unknown input observer, and gives necessary and sufficient conditions for its existence. After the disturbance de-coupling conditions are satisfied, the remaining design freedom can be used to make the residual have the directional property, based on the fault detection filter principle. A nonlinear jet engine system is used to illustrate the robust fault isolation approach presented. It is shown that linearization errors can be approximately treated as unknown disturbances and be de-coupled in the design of a robust fault detection filter. 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subjects | Applied sciences Computer science control theory systems Control theory. Systems Exact sciences and technology Modelling and identification |
title | Design of unknown input observers and robust fault detection filters |
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