Integrated nonlinear model predictive fault tolerant control and multiple model based fault detection and diagnosis

•A framework for considering the effect of fault detection delay is proposed.•Using this framework the system stability is preserved.•We present the integration of FDD with QIMPC as a fault tolerant control approach.•The actuator fault for general form of affine nonlinear system is modeled.•The capa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Chemical engineering research & design 2014-02, Vol.92 (2), p.340-349
Hauptverfasser: Kargar, S.M., Salahshoor, K., Yazdanpanah, M.J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 349
container_issue 2
container_start_page 340
container_title Chemical engineering research & design
container_volume 92
creator Kargar, S.M.
Salahshoor, K.
Yazdanpanah, M.J.
description •A framework for considering the effect of fault detection delay is proposed.•Using this framework the system stability is preserved.•We present the integration of FDD with QIMPC as a fault tolerant control approach.•The actuator fault for general form of affine nonlinear system is modeled.•The capability of the proposed method is demonstrated using a chemical process. In this paper, a new fault-tolerant control approach is presented for a class of nonlinear systems, which preserves system stability despite a time delay in fault detection. The faults are assumed to occur in the actuators and are modeled for the general form of affine nonlinear systems. A fault detection and diagnosis (FDD) block is designed based on the multiple model method. The bank of extended Kalman filters (EKF) is used to detect predefined actuator faults and to estimate the unknown parameters of actuator position. The estimated parameters are then used to correct the model of the faulty system and to reconfigure the controller. The reconfigurable controller is designed based on the stabilizing nonlinear model predictive control (NMPC) scheme. On the other hand, in the duration between fault occurrence and fault detection, because of the mismatch between the process and the model, the system states may go off the attraction region. The proposed method is based on designing multiple local controllers for individual predefined faults. Depending on the value of a system variable at the moment of fault detection, one of these controllers will operate. This leads to a stability region of a set of auxiliary equilibrium points (AEPs), which is larger than the attraction region. Moreover, a framework for preserving system stability is presented. Finally, a practical chemical process example is presented to illustrate the effectiveness of this method.
doi_str_mv 10.1016/j.cherd.2013.07.028
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1709784424</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0263876213003249</els_id><sourcerecordid>1677926996</sourcerecordid><originalsourceid>FETCH-LOGICAL-c472t-fcc46b6fd418da4e24f65e7b852ef33301c186a24d26b43847d8c6b97bbad783</originalsourceid><addsrcrecordid>eNqFkbtuIyEUQNEqkdZ5fME2U6aZWV4DTJEiinazliKlSY8YuJPFwuAAjpS_D45TxxXFPecK3YPQL4IHgon4vRnsf8huoJiwAcsBU_UDrYjkvGejYGdohalgvZKC_kQXpWwwxm2qVqisY4WXbCq4LqYYfASTu21yELpdBudt9W_QLWYfaldTgGxi7WyKNafQmei6bZv4XYAvaTalrTryDio0P8VP0HnzElPx5QqdLyYUuP56L9Hz3z_P9__6x6eH9f3dY2-5pLVfrOViFovjRDnDgfJFjCBnNVJYGGOYWKKEodxRMXOmuHTKinmS82ycVOwS3RzX7nJ63UOpeuuLhRBMhLQvmkg8ScU55adRIeVExTSJ0-g4Etzo9sHTKGv1FMMHlB1Rm1MpGRa9y35r8rsmWB8S643-TKwPiTWWuiVu1u3RgnbFNw9ZF-sh2pYtt8Nrl_y3_gexuLGK</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1531018303</pqid></control><display><type>article</type><title>Integrated nonlinear model predictive fault tolerant control and multiple model based fault detection and diagnosis</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Kargar, S.M. ; Salahshoor, K. ; Yazdanpanah, M.J.</creator><creatorcontrib>Kargar, S.M. ; Salahshoor, K. ; Yazdanpanah, M.J.</creatorcontrib><description>•A framework for considering the effect of fault detection delay is proposed.•Using this framework the system stability is preserved.•We present the integration of FDD with QIMPC as a fault tolerant control approach.•The actuator fault for general form of affine nonlinear system is modeled.•The capability of the proposed method is demonstrated using a chemical process. In this paper, a new fault-tolerant control approach is presented for a class of nonlinear systems, which preserves system stability despite a time delay in fault detection. The faults are assumed to occur in the actuators and are modeled for the general form of affine nonlinear systems. A fault detection and diagnosis (FDD) block is designed based on the multiple model method. The bank of extended Kalman filters (EKF) is used to detect predefined actuator faults and to estimate the unknown parameters of actuator position. The estimated parameters are then used to correct the model of the faulty system and to reconfigure the controller. The reconfigurable controller is designed based on the stabilizing nonlinear model predictive control (NMPC) scheme. On the other hand, in the duration between fault occurrence and fault detection, because of the mismatch between the process and the model, the system states may go off the attraction region. The proposed method is based on designing multiple local controllers for individual predefined faults. Depending on the value of a system variable at the moment of fault detection, one of these controllers will operate. This leads to a stability region of a set of auxiliary equilibrium points (AEPs), which is larger than the attraction region. Moreover, a framework for preserving system stability is presented. Finally, a practical chemical process example is presented to illustrate the effectiveness of this method.</description><identifier>ISSN: 0263-8762</identifier><identifier>EISSN: 1744-3563</identifier><identifier>DOI: 10.1016/j.cherd.2013.07.028</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Actuator fault ; Attraction region ; Control systems ; CSTR ; Dynamical systems ; Extended Kalman filter ; Fault detection ; Fault detection and diagnosis ; Fault tolerance ; Faults ; Mathematical models ; Nonlinear dynamics ; Nonlinear model predictive control ; Systems stability</subject><ispartof>Chemical engineering research &amp; design, 2014-02, Vol.92 (2), p.340-349</ispartof><rights>2013 The Institution of Chemical Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c472t-fcc46b6fd418da4e24f65e7b852ef33301c186a24d26b43847d8c6b97bbad783</citedby><cites>FETCH-LOGICAL-c472t-fcc46b6fd418da4e24f65e7b852ef33301c186a24d26b43847d8c6b97bbad783</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cherd.2013.07.028$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Kargar, S.M.</creatorcontrib><creatorcontrib>Salahshoor, K.</creatorcontrib><creatorcontrib>Yazdanpanah, M.J.</creatorcontrib><title>Integrated nonlinear model predictive fault tolerant control and multiple model based fault detection and diagnosis</title><title>Chemical engineering research &amp; design</title><description>•A framework for considering the effect of fault detection delay is proposed.•Using this framework the system stability is preserved.•We present the integration of FDD with QIMPC as a fault tolerant control approach.•The actuator fault for general form of affine nonlinear system is modeled.•The capability of the proposed method is demonstrated using a chemical process. In this paper, a new fault-tolerant control approach is presented for a class of nonlinear systems, which preserves system stability despite a time delay in fault detection. The faults are assumed to occur in the actuators and are modeled for the general form of affine nonlinear systems. A fault detection and diagnosis (FDD) block is designed based on the multiple model method. The bank of extended Kalman filters (EKF) is used to detect predefined actuator faults and to estimate the unknown parameters of actuator position. The estimated parameters are then used to correct the model of the faulty system and to reconfigure the controller. The reconfigurable controller is designed based on the stabilizing nonlinear model predictive control (NMPC) scheme. On the other hand, in the duration between fault occurrence and fault detection, because of the mismatch between the process and the model, the system states may go off the attraction region. The proposed method is based on designing multiple local controllers for individual predefined faults. Depending on the value of a system variable at the moment of fault detection, one of these controllers will operate. This leads to a stability region of a set of auxiliary equilibrium points (AEPs), which is larger than the attraction region. Moreover, a framework for preserving system stability is presented. Finally, a practical chemical process example is presented to illustrate the effectiveness of this method.</description><subject>Actuator fault</subject><subject>Attraction region</subject><subject>Control systems</subject><subject>CSTR</subject><subject>Dynamical systems</subject><subject>Extended Kalman filter</subject><subject>Fault detection</subject><subject>Fault detection and diagnosis</subject><subject>Fault tolerance</subject><subject>Faults</subject><subject>Mathematical models</subject><subject>Nonlinear dynamics</subject><subject>Nonlinear model predictive control</subject><subject>Systems stability</subject><issn>0263-8762</issn><issn>1744-3563</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkbtuIyEUQNEqkdZ5fME2U6aZWV4DTJEiinazliKlSY8YuJPFwuAAjpS_D45TxxXFPecK3YPQL4IHgon4vRnsf8huoJiwAcsBU_UDrYjkvGejYGdohalgvZKC_kQXpWwwxm2qVqisY4WXbCq4LqYYfASTu21yELpdBudt9W_QLWYfaldTgGxi7WyKNafQmei6bZv4XYAvaTalrTryDio0P8VP0HnzElPx5QqdLyYUuP56L9Hz3z_P9__6x6eH9f3dY2-5pLVfrOViFovjRDnDgfJFjCBnNVJYGGOYWKKEodxRMXOmuHTKinmS82ycVOwS3RzX7nJ63UOpeuuLhRBMhLQvmkg8ScU55adRIeVExTSJ0-g4Etzo9sHTKGv1FMMHlB1Rm1MpGRa9y35r8rsmWB8S643-TKwPiTWWuiVu1u3RgnbFNw9ZF-sh2pYtt8Nrl_y3_gexuLGK</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Kargar, S.M.</creator><creator>Salahshoor, K.</creator><creator>Yazdanpanah, M.J.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope><scope>7SR</scope><scope>8BQ</scope><scope>JG9</scope></search><sort><creationdate>20140201</creationdate><title>Integrated nonlinear model predictive fault tolerant control and multiple model based fault detection and diagnosis</title><author>Kargar, S.M. ; Salahshoor, K. ; Yazdanpanah, M.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c472t-fcc46b6fd418da4e24f65e7b852ef33301c186a24d26b43847d8c6b97bbad783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Actuator fault</topic><topic>Attraction region</topic><topic>Control systems</topic><topic>CSTR</topic><topic>Dynamical systems</topic><topic>Extended Kalman filter</topic><topic>Fault detection</topic><topic>Fault detection and diagnosis</topic><topic>Fault tolerance</topic><topic>Faults</topic><topic>Mathematical models</topic><topic>Nonlinear dynamics</topic><topic>Nonlinear model predictive control</topic><topic>Systems stability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kargar, S.M.</creatorcontrib><creatorcontrib>Salahshoor, K.</creatorcontrib><creatorcontrib>Yazdanpanah, M.J.</creatorcontrib><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Materials Research Database</collection><jtitle>Chemical engineering research &amp; design</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kargar, S.M.</au><au>Salahshoor, K.</au><au>Yazdanpanah, M.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated nonlinear model predictive fault tolerant control and multiple model based fault detection and diagnosis</atitle><jtitle>Chemical engineering research &amp; design</jtitle><date>2014-02-01</date><risdate>2014</risdate><volume>92</volume><issue>2</issue><spage>340</spage><epage>349</epage><pages>340-349</pages><issn>0263-8762</issn><eissn>1744-3563</eissn><abstract>•A framework for considering the effect of fault detection delay is proposed.•Using this framework the system stability is preserved.•We present the integration of FDD with QIMPC as a fault tolerant control approach.•The actuator fault for general form of affine nonlinear system is modeled.•The capability of the proposed method is demonstrated using a chemical process. In this paper, a new fault-tolerant control approach is presented for a class of nonlinear systems, which preserves system stability despite a time delay in fault detection. The faults are assumed to occur in the actuators and are modeled for the general form of affine nonlinear systems. A fault detection and diagnosis (FDD) block is designed based on the multiple model method. The bank of extended Kalman filters (EKF) is used to detect predefined actuator faults and to estimate the unknown parameters of actuator position. The estimated parameters are then used to correct the model of the faulty system and to reconfigure the controller. The reconfigurable controller is designed based on the stabilizing nonlinear model predictive control (NMPC) scheme. On the other hand, in the duration between fault occurrence and fault detection, because of the mismatch between the process and the model, the system states may go off the attraction region. The proposed method is based on designing multiple local controllers for individual predefined faults. Depending on the value of a system variable at the moment of fault detection, one of these controllers will operate. This leads to a stability region of a set of auxiliary equilibrium points (AEPs), which is larger than the attraction region. Moreover, a framework for preserving system stability is presented. Finally, a practical chemical process example is presented to illustrate the effectiveness of this method.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.cherd.2013.07.028</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0263-8762
ispartof Chemical engineering research & design, 2014-02, Vol.92 (2), p.340-349
issn 0263-8762
1744-3563
language eng
recordid cdi_proquest_miscellaneous_1709784424
source Elsevier ScienceDirect Journals Complete
subjects Actuator fault
Attraction region
Control systems
CSTR
Dynamical systems
Extended Kalman filter
Fault detection
Fault detection and diagnosis
Fault tolerance
Faults
Mathematical models
Nonlinear dynamics
Nonlinear model predictive control
Systems stability
title Integrated nonlinear model predictive fault tolerant control and multiple model based fault detection and diagnosis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T13%3A16%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrated%20nonlinear%20model%20predictive%20fault%20tolerant%20control%20and%20multiple%20model%20based%20fault%20detection%20and%20diagnosis&rft.jtitle=Chemical%20engineering%20research%20&%20design&rft.au=Kargar,%20S.M.&rft.date=2014-02-01&rft.volume=92&rft.issue=2&rft.spage=340&rft.epage=349&rft.pages=340-349&rft.issn=0263-8762&rft.eissn=1744-3563&rft_id=info:doi/10.1016/j.cherd.2013.07.028&rft_dat=%3Cproquest_cross%3E1677926996%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1531018303&rft_id=info:pmid/&rft_els_id=S0263876213003249&rfr_iscdi=true