Self-Tuning PID Controller with MR damper and Hydraulic Actuator for Suspension System

This paper presents the simulation study of magneto-rheological (MR) damper and hydraulic actuator for suspension system using intelligent PID controller with iterative learning algorithm. The MR damper is an intelligent damper filled with particle magnetic polarizable and suspended into a liquid form. This actuator was installed to the semi-active suspension system as a variable damper. The Bouc Wen model of MR damper was used to determine the required damper force based on the force-displacement and force velocity characteristic. For the purpose of comparison of performance, a hydraulic actuator, working as an additional damper, was installed within an active suspension system. Two different disturbances namely bump and random disturbances were introduced as the road profile. The performances of theproposed actuators were investigated in term of body displacement, velocity and acceleration. The results indicated the active system based on hydraulic actuator was better than semi-active based on MR damper and passive system in term of the body displacement, velocity and acceleration.