Internal Model Control Structure Using Adaptive Inverse Control Strategy

In this paper, we propose a new adaptive IMC scheme based on adaptive finite impulse response filters, which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by recursive least square algorithm and the inverse of the sys...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Shafiq, M.Riyaz (author)
مؤلفون آخرون: , S.H. (author), unknown (author)
التنسيق: article
منشور في: 2003
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14354/1/14354_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14354/2/14354_2.doc
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author Shafiq, M.Riyaz,
author2 , S.H.
unknown
author2_role author
author
author_facet Shafiq, M.Riyaz,
, S.H.
unknown
author_role author
dc.creator.none.fl_str_mv Shafiq, M.Riyaz,
, S.H.
unknown
dc.date.none.fl_str_mv 2003-06
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14354/1/14354_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14354/2/14354_2.doc
(2003) Internal Model Control Structure Using Adaptive Inverse Control Strategy. Control and Automation, 2003. ICCA '03. Proceedings. 4th International conference, 1.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14354/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Petroleum
dc.title.none.fl_str_mv Internal Model Control Structure Using Adaptive Inverse Control Strategy
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In this paper, we propose a new adaptive IMC scheme based on adaptive finite impulse response filters, which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. The closed-loop is designed such that the system from the reference input to the plant output can be approximately represented by a pure delay. The effect of the process zeros on the output is compensated by using adaptive finite impulse response filters. The incorporation of adaptive finite impulse response filters avoid the cancellation of non-cancellable zeros of the plant. Ultimately, the plant output is forced to track the reference input with a delay. The stability of the closedloop for both minimum and non-minimum phase systems is guaranteed. Computer simulation results and the outcomes of real-time experiment are included in the paper to show the effectiveness of the proposed method.
eu_rights_str_mv openAccess
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id KFUPM_f7b890c41e15aed4081aee5d43fd37b8
identifier_str_mv (2003) Internal Model Control Structure Using Adaptive Inverse Control Strategy. Control and Automation, 2003. ICCA '03. Proceedings. 4th International conference, 1.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14354
publishDate 2003
publisher.none.fl_str_mv IEEE
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spelling Internal Model Control Structure Using Adaptive Inverse Control StrategyShafiq, M.Riyaz,, S.H.unknownPetroleumIn this paper, we propose a new adaptive IMC scheme based on adaptive finite impulse response filters, which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. The closed-loop is designed such that the system from the reference input to the plant output can be approximately represented by a pure delay. The effect of the process zeros on the output is compensated by using adaptive finite impulse response filters. The incorporation of adaptive finite impulse response filters avoid the cancellation of non-cancellable zeros of the plant. Ultimately, the plant output is forced to track the reference input with a delay. The stability of the closedloop for both minimum and non-minimum phase systems is guaranteed. Computer simulation results and the outcomes of real-time experiment are included in the paper to show the effectiveness of the proposed method.IEEE2003-062020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14354/1/14354_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14354/2/14354_2.doc (2003) Internal Model Control Structure Using Adaptive Inverse Control Strategy. Control and Automation, 2003. ICCA '03. Proceedings. 4th International conference, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14354/info:eu-repo/semantics/openAccessoai::143542019-11-01T14:05:27Z
spellingShingle Internal Model Control Structure Using Adaptive Inverse Control Strategy
Shafiq, M.Riyaz,
Petroleum
status_str publishedVersion
title Internal Model Control Structure Using Adaptive Inverse Control Strategy
title_full Internal Model Control Structure Using Adaptive Inverse Control Strategy
title_fullStr Internal Model Control Structure Using Adaptive Inverse Control Strategy
title_full_unstemmed Internal Model Control Structure Using Adaptive Inverse Control Strategy
title_short Internal Model Control Structure Using Adaptive Inverse Control Strategy
title_sort Internal Model Control Structure Using Adaptive Inverse Control Strategy
topic Petroleum
url https://eprints.kfupm.edu.sa/id/eprint/14354/1/14354_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14354/2/14354_2.doc