Abstract—Suspension in a vehicle is provided primarily to improve the passenger comfort and road handling to different road conditions. An active suspension is proved to be better than a passive suspension system. Ride comfort can be measured by observing the body acceleration in the vertical direction and vehicle handling performance can be observed by suspension deflection. In this paper, the suspension dynamics are modeled by using 2- degree of freedom linear time invariant quarter car model. The purpose of this paper is to investigate the performance of active suspension system using fuzzy logic controller and linear quadratic regulator controllers in comparison with passive suspension system. The simulation of vehicle performance on road is studied by using MATLAB/SIMULINK. The results shows that both LQR and FLC can effectively control the vibration of the vehicle as compared to passive suspension system. Moreover FLC control method is more effective in reducing the acceleration of sprung mass as compared to LQR control.

 

Index Terms—Vehicle Active Suspension System (VASS), Fuzzy Logic Controller (FLC), Linear Quadratic Regulator (LQR)

Cite: Narinder Singh Bhangal and Kumar Amit Raj, "Fuzzy Control of Vehicle Active Suspension System," International Journal of Mechanical Engineering and Robotics Research, Vol. 5, No. 2, pp. 144-148, April 2016. DOI: 10.18178/ijmerr.5.2.144-148