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Détail de l'auteur
Auteur Zhong-Lai Wang
Documents disponibles écrits par cet auteur
Affiner la rechercheHybrid fuzzy skyhook surface control using multi-objective microgenetic algorithm for semi-active vehicle suspension system ride comfort stability analysis / Yi Chen in Transactions of the ASME . Journal of dynamic systems, measurement, and control, Vol. 134 N° 4 (Juillet 2012)
[article]
in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 134 N° 4 (Juillet 2012) . - 14 p.
Titre : Hybrid fuzzy skyhook surface control using multi-objective microgenetic algorithm for semi-active vehicle suspension system ride comfort stability analysis Type de document : texte imprimé Auteurs : Yi Chen, Auteur ; Zhong-Lai Wang, Auteur ; Jing Qiu, Auteur Année de publication : 2012 Article en page(s) : 14 p. Note générale : Dynamic systems Langues : Anglais (eng) Mots-clés : Fuzzy sliding mode control Skyhook surface method Multi-objective microgenetic algorithm (MOµGA) Vehicle semi-active suspension Index. décimale : 629.8 Résumé : A polynomial function supervising fuzzy sliding mode control (PSFalphaSMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semi-active suspension. The multi-objective microgenetic algorithm (MOµGA) has been utilized to determine the PSFalphaSMC controller's parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the “offline” step. Then, the optimized parameters are applied to the real-time control process by the polynomial function supervising controller, which is named “online” step. A two-degree-of-freedom dynamic model of the vehicle semi-active suspension systems with the stability analysis is given for passenger's ride comfort enhancement studies, and a simulation with the given initial conditions has been devised in MATLAB. The numerical results have shown that this hybrid control method is able to provide real-time enhanced level of reliable ride comfort performance for the semi-active suspension system. DEWEY : 629.8 ISSN : 0022-0434 En ligne : http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA000134000004 [...] [article] Hybrid fuzzy skyhook surface control using multi-objective microgenetic algorithm for semi-active vehicle suspension system ride comfort stability analysis [texte imprimé] / Yi Chen, Auteur ; Zhong-Lai Wang, Auteur ; Jing Qiu, Auteur . - 2012 . - 14 p.
Dynamic systems
Langues : Anglais (eng)
in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 134 N° 4 (Juillet 2012) . - 14 p.
Mots-clés : Fuzzy sliding mode control Skyhook surface method Multi-objective microgenetic algorithm (MOµGA) Vehicle semi-active suspension Index. décimale : 629.8 Résumé : A polynomial function supervising fuzzy sliding mode control (PSFalphaSMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semi-active suspension. The multi-objective microgenetic algorithm (MOµGA) has been utilized to determine the PSFalphaSMC controller's parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the “offline” step. Then, the optimized parameters are applied to the real-time control process by the polynomial function supervising controller, which is named “online” step. A two-degree-of-freedom dynamic model of the vehicle semi-active suspension systems with the stability analysis is given for passenger's ride comfort enhancement studies, and a simulation with the given initial conditions has been devised in MATLAB. The numerical results have shown that this hybrid control method is able to provide real-time enhanced level of reliable ride comfort performance for the semi-active suspension system. DEWEY : 629.8 ISSN : 0022-0434 En ligne : http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA000134000004 [...]