FUZZY LOGIC BASED- SKYHOOKSCHEME WITH FIREFLY ALGORITHM FOR SEMI-ACTIVE RIDE COMFORT

This paper presents the effect of the applying fuzzy logic based-skyhook scheme tuned using firefly algorithm (FLSS-FA) for semi-active ride comfort of quarter vehicle model. Spencer model was used to represent the magnetorheological damper model and its behavior was investigated in the form of force-displacement and force-velocity characteristics. The fuzzy logic control adopted with the skyhook policy based on Sugeno-type fuzzy was used to enhance the ride performance. An intelligent evolutionary algorithm known as the firefly algorithm (FA) was also adapted in the proposed controller to compute the fuzzy gain scaling. The performance of the FLSS-FA controller was compared with the FLPA, and continuous skyhook in time domain. Results show that the proposed FLSP-FA control gives better performance and able to improve the vehicle ride comfort that its counterparts.