Title: Fuzzy control and co-simulation for semi-active suspension based on improved genetic algorithm

Authors: Jingjun Zhang; Zhiqiang Xu; Ruizhen Gao

Addresses: Department of Science Research, Hebei University of Engineering, Guangming South Street 199, Handan, Hebei, China ' Mechanical and Electrical Engineering, Hebei University of Engineering, Guangming South Street 199, Handan, Hebei, China ' Mechanical and Electrical Engineering, Hebei University of Engineering, Guangming South Street 199, Handan, Hebei, China

Abstract: A vehicle semi-active suspension is established by using Adams software. The fuzzy logic controller of the suspension is completed from the Matlab software, and the control rules are optimised using improved genetic algorithm. And then using Adams/control module has realised the co-simulation of Adams and MATLAB. The results illustrate that this control method has decreased the body's acceleration to a large extent and improved vehicle's riding performances than the passive suspension. At the same time, the results also verify the feasibility and accuracy of using co-simulation.

Keywords: semi-active suspension; multi-body modelling; fuzzy logic controllers; FLC; fuzzy control; improved genetic algorithms; co-simulation; vehicle suspension; vehicle ride; ride performance.

DOI: 10.1504/IJICA.2013.052351

International Journal of Innovative Computing and Applications, 2013 Vol.5 No.1, pp.26 - 36

Available online: 28 Feb 2013 *

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