Fuzzy logic with firefly algortihm for semi-active suspension system using magneto-rheological damper

Abstract

Semi-active (SA) suspension system with mathematical model is established based on a quarter vehicles. Magneto-rheological (MR) damper is used to change a conventional damper system to be as an intelligent damper. It contains a particle magnetic polarizable and suspended into a liquid form. The Bouc-Wen model of MR damper is used to determine the required damping force based on force-displacement and force-velocity characteristics. The performance of Intelligent Fuzzy Logic (IFL) controller optimized by Firefly Algorithm (FA) is investigated to control MR damper system. During this research, the gain scaling of IFL will be optimized using FA technique in order to achieve the lowest Mean Square Error (MSE) of the system response. The performance of the proposed controller then will be compared with conventional modified skyhook controller and uncontrolled system in term of body displacement, body acceleration, suspension deflection and tire deflection. Two Bump disturbance signals are implemented into the system. The simulation results demonstrates that the FA tuned IFL exhibits an improvement to the ride comfort and has the smallest MSE as compared to the performance of modified skyhook and uncontrolled system.