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Article: An Integrated Robust Design and Robust Control Strategy Using the Genetic Algorithm

TitleAn Integrated Robust Design and Robust Control Strategy Using the Genetic Algorithm
Authors
GAO, YWang, JGao, SCheng, Y
KeywordsGenetic algorithm (GA)
integrated robust design and robust control (IRDRC)
system decomposition
uncertainty
Issue Date2021
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9424
Citation
IEEE Transactions on Industrial Informatics, 2021, v. 17 n. 12, p. 8378-8386 How to Cite?
DOI: http://dx.doi.org/10.1109/TII.2021.3056417
AbstractSequential strategies and integrated design and control (IDC) strategies have been developed to optimize engineering systems. Nevertheless, neither of them considers the impact of uncertainty when optimizing system performance. To improve the robustness of the system performance and ensure the systematic optimality, this article proposes an integrated robust design and robust control (IRDRC) strategy for a general engineering system using the genetic algorithm. The proposed IRDRC strategy is applied to a rocket flight attitude control system to test its effectiveness. The results show that the IRDRC strategy outperforms existing sequential strategies and IDC strategies, concerning system-level optimization and system robustness.
Persistent Identifierhttp://hdl.handle.net/10722/304229
ISSN
1551-3203
2021 Impact Factor: 11.648
2020 SCImago Journal Rankings: 2.496
ISI Accession Number ID
WOS:000690940600049

 

DC FieldValueLanguage
dc.contributor.authorGAO, Y-
dc.contributor.authorWang, J-
dc.contributor.authorGao, S-
dc.contributor.authorCheng, Y-
dc.date.accessioned2021-09-23T08:57:04Z-
dc.date.available2021-09-23T08:57:04Z-
dc.date.issued2021-
dc.identifier.citationIEEE Transactions on Industrial Informatics, 2021, v. 17 n. 12, p. 8378-8386-
dc.identifier.issn1551-3203-
dc.identifier.urihttp://hdl.handle.net/10722/304229-
dc.description.abstractSequential strategies and integrated design and control (IDC) strategies have been developed to optimize engineering systems. Nevertheless, neither of them considers the impact of uncertainty when optimizing system performance. To improve the robustness of the system performance and ensure the systematic optimality, this article proposes an integrated robust design and robust control (IRDRC) strategy for a general engineering system using the genetic algorithm. The proposed IRDRC strategy is applied to a rocket flight attitude control system to test its effectiveness. The results show that the IRDRC strategy outperforms existing sequential strategies and IDC strategies, concerning system-level optimization and system robustness.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9424-
dc.relation.ispartofIEEE Transactions on Industrial Informatics-
dc.rightsIEEE Transactions on Industrial Informatics. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectGenetic algorithm (GA)-
dc.subjectintegrated robust design and robust control (IRDRC)-
dc.subjectsystem decomposition-
dc.subjectuncertainty-
dc.titleAn Integrated Robust Design and Robust Control Strategy Using the Genetic Algorithm-
dc.typeArticle-
dc.identifier.emailWang, J: jwwang@hku.hk-
dc.identifier.emailCheng, Y: yaocheng@hku.hk-
dc.identifier.authorityWang, J=rp01888-
dc.identifier.authorityCheng, Y=rp02449-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TII.2021.3056417-
dc.identifier.scopuseid_2-s2.0-85100769908-
dc.identifier.hkuros325688-
dc.identifier.volume17-
dc.identifier.issue12-
dc.identifier.spage8378-
dc.identifier.epage8386-
dc.identifier.isiWOS:000690940600049-
dc.publisher.placeUnited States-

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