Performance Analysis of PID and Fuzzy Logic Controlled Semi-Active and Passive Suspension Elements on Full Vehicle Model

Abstract

In this study, the dynamic performances of full vehicle models were extensively investigated through simulations conducted in the MATLAB-Simulink environment to evaluate their responses to various system inputs, especially passive suspension elements and models equipped with semi-active Magneto-Rheological (MR) dampers. Initially, a full vehicle model was created using passive suspension elements, and the system behaviors against different road inputs are analyzed. Subsequently, integration of a semi-active MR damper onto the same full vehicle model is performed, and this specific damper was controlled using two different control methods: the first control method is selected as PID, and the second one as a Fuzzy Logic Controller (FLC). The system's responses to various road inputs are examined for both control methods and the respective controllers. This study stands out as a method used in the design and performance analysis of suspension systems for full-vehicle models. The results, especially regarding the control of semi-active MR dampers with a Fuzzy Logic Controller, indicate that semi-active dampers can respond more effectively to different road conditions and enhance ride comfort.