Optimal Design and Analysis of Quarter Vehicle Suspension System by Using Matlab

Abstract

The paper deals with the optimal design and analysis of quarter car vehicle suspension system. For optimal designs are used the optimal parameters which have been derived by comparison of two optimisation algorithms: Sequential Quadratic Program (SQP) and Genetic Algorithms (GA's), for a five chosen design parameters. The goal function is chosen to provide the possibility to emphasize three main objectives of vehicle suspensions; ride comfort, suspension travel and road holding. Fuzzy Logic Control (FLC) is considered to control active suspension for the optimal parameters derived by GA's, and the rule base can be tuned to improve each of the above objectives, while the main focus is to minimise the vertical vehicle body acceleration. It also deals with parametric analysis, state space modelling, Laplace Transform, Transfer Function, Stability, Controllability, Observability and many other important attributes to analyse quarter car vehicle model.

Optimisation and Control of Vehicle Suspension Using Linear Quadratic Gaussian Control

“…The objective function and the constraint functions are assumed to be at least twice continuously differentiable. This algorithm is a gradient-based search method [3], [4]. This algorithm is well-suited for constrained design optimizations.…”

“…Thus, the design optimization problem can be obtained by minimisation of sprung mass acceleration [2], [3] given in [4] subject to constraints.…”