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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/34
DC FieldValueLanguage
dc.contributor.authorDo Xuan Phuen_US
dc.contributor.authorTa Duc Huyen_US
dc.contributor.authorVan Mienen_US
dc.contributor.authorSeung-Bok Choien_US
dc.date.accessioned2020-03-12T16:53:29Z-
dc.date.available2020-03-12T16:53:29Z-
dc.date.issued2018-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/34-
dc.description.abstractThis work proposes a novel composite adaptive controller based on the prescribed performance of the sliding surface and applies it to vibration control of a semi-active vehicle seat suspension system subjected to severe external disturbances. As a first step, the online fast interval type 2 fuzzy neural network system is adopted to establish a model and two sliding surfaces are used; conventional surface and prescribed surface. Then, an equivalent control is determined by assuming the derivative of the prescribed surface is zero, followed by the design of a controller which can guarantee both stability and robustness. Then, two controllers are combined and integrated with adaptation laws using the projection algorithm. The effectiveness of the proposed composite controller is validated through both simulation and experiment by undertaking vibration control of a semi-active seat suspension system equipped with a magneto-rheological (MR) damper. It is shown from both simulation and experimental realization that excellent vibration control performances are achieved with a small tracking error between the proposed and prescribed objectives. In addition, the control superiority of the proposed controller to conventional sliding mode controller featuring one sliding surface and proportional-integral-derivative (PID) controllers are demonstrated through a comparative work.en_US
dc.language.isoenen_US
dc.publisherElsevier, Science Directen_US
dc.relation.ispartofseriesMechanical Systems and Signal Processing;Vol. 107-
dc.subjectComposite adaptive controlen_US
dc.subjectObjective controlen_US
dc.subjectPrescribed sliding surfaceen_US
dc.subjectVibration controlen_US
dc.subjectSemi-active seat suspensionen_US
dc.subjectMagneto-rheological (MR) fluiden_US
dc.subjectMR damperen_US
dc.titleA new composite adaptive controller featuring the neural network and prescribed sliding surface with application to vibration controlen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ymssp.2018.01.040-
dc.relation.journaltypeISI (SCIE) Q1en_US
item.languageiso639-1other-
item.grantfulltextnone-
item.fulltextNo Fulltext-
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