Comparative Analysis of Passive, PID And Fuzzy_PID Controller For Quarter Car Model

Abstract

This paper presents a comparative analysis of passive, PID, and fuzzy PID control strategies for a quarter-car suspension system utilizing a fuzzy PID controller to enhance ride comfort and stability by effectively managing displacement and velocity. The quarter-car model serves as a simplified representation of vehicle dynamics, where the primary objective is to minimize the vertical displacement of the vehicle body and control the relative velocity between the body an the wheel. Additional PID controllers often struggle with non-linearity and uncertainties present in suspension systems; therefore, it is proposed a fuzzy logic approach to tune the PID parameters dynamically based on real-time system states. The fuzzy-PID controller integrates the benefit of fuzzy logic’s ability to handle uncertainty and the robustness of classical PID control. Simulation results demonstrate that the proposed fuzzy-PID versus passive controller significantly reduces body displacement by 88％of overshoot and 56％of settling time with bumpy input road1. Fuzzy-PID versus passive controller significantly reduces velocity response by 24％of overshoot and 55％of settling time with bumpy input road1.