Kinematics and compliance analysis of active suspension system and Development of control algorithm to maximize ride comfort

Abstract

It is important to understand the interrelationship between steering stability and NVH to adjust stiffness of the suspension to satisfy the aim of maximum ride comfort. This work aims to perform kinematic and compliance analysis on comprehensive quarter car model of McPherson suspension system to validate its reliability with respect to various road profiles and development of control algorithm to control its stiffness. Despite the wide usage of PID controllers, controllers based on Adaptive Neuro Fuzzy Inference System (ANFIS) are proved to give better results as they consider the non-linearity of active car suspension models. The modelling of the comprehensive non-linear quarter car active McPherson suspension system is done using MSC ADAMS and the control algorithm is implemented using MATLAB. The approach used is to perform parametric sensitivity analysis for prime parameters such as toe angle, camber angle and caster angle. The approach used to design a better robust control algorithm is achieved using µ-synthesis function of MATLAB.