| Titre : | Hybrid fuzzy skyhook surface control using multi-objective microgenetic algorithm for semi-active vehicle suspension system ride comfort stability analysis (2012) |
| Auteurs : | Yi Chen, Auteur ; Zhong-Lai Wang, Auteur ; Jing Qiu, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Transactions of the ASME . Journal of dynamic systems, measurement, and control (Vol. 134 N° 4, Juillet 2012) |
| Article en page(s) : | 14 p. |
| Note générale : | Dynamic systems |
| Langues : | Anglais |
| Index. décimale : | 629.8 |
| Tags : | Fuzzy sliding mode control Skyhook surface method Multi-objective microgenetic algorithm (MOµGA) Vehicle semi-active suspension |
| 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=JDSMAA000134000004041003000001&idtype=cvips&gifs=Yes&ref=no |
