Adjusting the Parameters of a PID Controller with an Asymmetric Fuzzy Algorithm for an Automotive Suspension System

Abstract

A suspension system plays a crucial role in ensuring the smoothness of a car when traveling on roads. This paper proposes using the active suspension system equipped with a hydraulic actuator to replace a conventional passive suspension. Unlike previous publications, this study uses a Hybrid PID algorithm, combining a conventional PID controller and a fuzzy solution with two distinct inputs. The coefficients of the PID controller are flexibly adjusted by the fuzzy algorithm. Therefore, it can more respond to complex motion conditions. Calculations are performed with the MATLAB-Simulink software for four specific cases. According to the research findings, the maximum and RMS values of vehicle body acceleration and displacement significantly decrease when applying the hybrid algorithm to the active suspension system. In the last case, these values are only 16.69% and 36.90% when comparing Fuzzy PID and Passive situations. In general, the smoothness of the sprung mass can be guaranteed in all survey cases.