Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/112801
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorLi, HW-
dc.creatorZhang, D-
dc.creatorLu, Y-
dc.creatorNi, YQ-
dc.creatorXu, ZD-
dc.creatorZhu, Q-
dc.creatorWang, SM-
dc.date.accessioned2025-05-09T00:55:02Z-
dc.date.available2025-05-09T00:55:02Z-
dc.identifier.issn1524-9050-
dc.identifier.urihttp://hdl.handle.net/10397/112801-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/en_US
dc.rightsThe following publication H. -W. Li et al., "Self-Tuning Dual-Layer Sliding Mode Control of Electromagnetic Suspension System," in IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 2, pp. 2366-2380, Feb. 2025 is available at https://doi.org/10.1109/TITS.2024.3509997.en_US
dc.subjectAdaptive controlen_US
dc.subjectMaglev suspension systemen_US
dc.subjectModel uncertaintiesen_US
dc.subjectOnline estimatoren_US
dc.subjectRobust controlen_US
dc.subjectSliding mode controlen_US
dc.titleSelf-tuning dual-layer sliding mode control of electromagnetic suspension systemen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2366-
dc.identifier.epage2380-
dc.identifier.volume26-
dc.identifier.issue2-
dc.identifier.doi10.1109/TITS.2024.3509997-
dcterms.abstractThe suspension system in electromagnetic suspension maglev trains is highly nonlinear and sensitive to uncertainties, noise, and disturbances, making it quite challenging to design the proper electromagnetic voltages to control the suspension gap. In this paper, a self-tuning dual-layer sliding mode control system (SD-SMC) is developed to control the electromagnetic suspension system where voltage saturation, sensor noise, and a wide range of parametric uncertainties/variations exist. SD-SMC consists of dual-layer sliding mode controllers, a delay-compensated low-pass filter, and a forgetting least-squares estimator. Compared with existing control systems, SD-SMC can achieve high performance under large model uncertainties and disturbances with relatively low control voltages, and meanwhile, the control chattering and overshooting issues can be well mitigated. Both numerical and experimental examples are investigated to validate the proposed control system.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on intelligent transportation systems, Feb. 2025, v. 26, no. 2, p. 2366-2380-
dcterms.isPartOfIEEE transactions on intelligent transportation systems-
dcterms.issued2025-02-
dc.identifier.scopus2-s2.0-85212781676-
dc.identifier.eissn1558-0016-
dc.description.validate202505 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Start-Up Fund for Research Assistant Professors under the Strategic Hiring Scheme of The Hong Kong Polytechnic University under Grant P0046770; Wuyi University’s Hong Kong and Macao Joint Research and Development Fund under Grant 2021WGALH15; the Innovation and Technology Commission of Hong Kong SAR Government to Hong Kong Branch of the National Engineering Research Center on Rail Transit Electrification and Automation under Grant K-BBY1en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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