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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/26
DC FieldValueLanguage
dc.contributor.authorSy Dzung Nguyenen_US
dc.contributor.authorBao Danh Lamen_US
dc.contributor.authorQuoc Hung Nguyenen_US
dc.contributor.authorSeung-Bok Choien_US
dc.date.accessioned2020-03-12T16:53:20Z-
dc.date.available2020-03-12T16:53:20Z-
dc.date.issued2018-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/26-
dc.description.abstractUncertainty or the model error always exists in depicting technique systems. In many cases, the model error is implicitly the time-varying tendency such as in the semi-active railway vehicle suspensions using magneto-rheological damper, where the hysteretic response and time varying of physical parameter value of the magneto-rheological fluid due to system temperature variation are inherent features. To exploit well these systems, a becomingly compensative and adaptive mechanism needs to be set up to deal with both uncertainty and external disturbance. In this study, a new fuzzy-based dynamic inversion controller for semi-active railway vehicle suspensions using magneto-rheological dampers subjected to uncertainty and external disturbance is proposed. The fuzzy-based dynamic inversion controller faces uncertainty and disturbance individually. Regarding external disturbance, a disturbance observer is designed to estimate the compensative quantity. While for the model error influence, a combination of the inference ability of an adaptive fuzzy system and the competence to reach and keep the system stability states of sliding mode control is established via a model so-called fuzzy sliding mode control. First, an optimal sliding mode controller is designed, which is then used as a framework for building the adaptive fuzzy system. Based on Lyaponov theory, adaptive update law for the adaptive fuzzy system is discovered to adjust the sliding mode control adaptive to the system status. Surveys via quarter and half train-car vehicle suspension models including a real system of semi-active railway vehicle suspensions using magneto-rheological damper have been performed, which reflected the positive ability of the proposed method to stamp out vibration.en_US
dc.language.isoenen_US
dc.publisherSAGEen_US
dc.relation.ispartofseriesProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;Vol. 232(9)-
dc.subjectFuzzy controlen_US
dc.subjectDynamic inversion controlen_US
dc.subjectSliding mode controlen_US
dc.subjectModel error and parameter variationen_US
dc.subjectDisturbance and uncertainty observeren_US
dc.subjectMagneto-rheological damperen_US
dc.titleA fuzzy-based dynamic inversion controller with application to vibration control of vehicle suspension system subjected to uncertaintiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1177/0959651818774989-
dc.relation.journaltypeISI (SCIE)en_US
item.languageiso639-1other-
item.fulltextNo Fulltext-
item.grantfulltextnone-
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