Ride comfort improvement using robust multi-input multi-output fuzzy logic dynamic compensator

Basit Öğe Kaydı
dc.contributor.authorOzbek, Cengiz
dc.contributor.authorOzguney, Omur Can
dc.contributor.authorBurkan, Recep
dc.contributor.authorYagiz, Nurkan
dc.date.accessioned2024-03-13T10:32:59Z
dc.date.available2024-03-13T10:32:59Z
dc.date.issued2023
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractThis article aims to improve the ride comfort of a vehicle keeping a satisfactory without road-holding performance by a novel adaptive control method that is insensitive to unknown system dynamics, model parameter changes, external disturbances and without any loss in suspension working space. With this purpose in mind, a new fuzzy integrated model-based adaptive control law for vehicle suspension systems is proposed in this study to improve the ride comfort and to ensure the robustness of system towards unknown model parameters and external disturbances. First, a model-based adaptive control law, which has the robust characteristics is presented. Afterwards, a multi-input multi-output fuzzy logic controller is designed to determine the controller gains dynamically. The stability of controller is ensured by Lyapunov Theory to achieve uniform boundedness error convergence. A 4 degree-of-freedom half-car model with active suspension system is used in this study to assess the performance of the controller. The results are compared among passive, model-based adaptive control law-controlled and novel fuzzy model-based adaptive control law-controlled systems. It has been concluded that fuzzy model-based adaptive control law further attenuates linear and angular motions of the vehicle increasing the ride comfort. The robustness is also verified for vehicle components having different possible parameter values. It is noteworthy that suspension working length returns to its initial position. Thus, the vehicle ride comfort is improved with no suspension working space loss. Finally, the economic feasibility of controllers has been checked in terms of energy consumption.en_US
dc.identifier.doi10.1177/09596518221118407
dc.identifier.endpage85en_US
dc.identifier.issn0959-6518
dc.identifier.issn2041-3041
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage72en_US
dc.identifier.urihttps://doi.org/10.1177/09596518221118407
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3720
dc.identifier.volume237en_US
dc.identifier.wosWOS:000855135800001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSage Publications Ltden_US
dc.relation.ispartofProceedings Of The Institution Of Mechanical Engineers Part I-Journal Of Systems And Control Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRide comforten_US
dc.subjectmulti-input multi-outputen_US
dc.subjectfuzzy logicen_US
dc.subjectdynamic compensatoren_US
dc.subjectunknown system parametersen_US
dc.subjecthalf-car modelen_US
dc.titleRide comfort improvement using robust multi-input multi-output fuzzy logic dynamic compensatoren_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu