Passive Vehicle Suspension System Design Using Evolutionary Algorithm

Abstract

This paper describes a methodology to determine a set of optimum nonlinear system parameters for a passive suspension system (PSS) by using the evolutionary algorithms so that the best performance of the system can be achieved. The selected fitness functions are based on the desired performance such as sprung mass acceleration, suspension deflection, and tire deflection. A dynamic step-size operator is incorporated in the evolutionary algorithm for fine-tuning the mutation process. The simulation results show that the proposed method can provide better ride comfort and road holding ability in comparison with the commonly used passive suspension system.