Adaptive wavelets based fuzzy NN control for active suspension model

Abstract

The objective of this paper is to examine the performance of full car active suspension system by using adaptive wavelet fuzzy-neural network (WFNN) control strategy. The conventional passive suspension system does not provide the passenger comfort and vehicle handling against the road disturbances. In order to improve the passenger's comfort and vehicle's handling an adaptive WFNN is used for full car suspension. WFNN consists of fuzzy linguistic rules. WFNN has more accurate and generalized approximations for non-linear functions. The performance of WFNN is examined as compared to semi-active and passive suspension systems. Simulation is based on the full car mathematical model by using MATLAB/SIMULINK. © 2012 Springer-Verlag.