Title :
Studying of fuzzy logic control semi-active suspension based on improved genetic algorithm
Author :
Zhang, Jingjun ; Xu, Zhiqiang ; Gao, Ruizhen ; Han, Weisha
Author_Institution :
Coll. of Mech. & Electr., Hebei Univ. of Eng., Handan, China
Abstract :
Establishing a 2-DOFs of 1/4 semi-active suspension system model, Using genetic algorithm approach, fuzzy logic controller of the semi-active suspension was designed, simulated in the environment of Matlab/Simulink. The results of compared with the passive suspension demonstrate that this developed fuzzy logic controller based on genetic algorithm enhances the performance of the full car suspension system significantly.
Keywords :
automobiles; fuzzy control; fuzzy logic; genetic algorithms; mathematics computing; suspensions (mechanical components); Matlab/Simulink; full car suspension system; fuzzy logic control; improved genetic algorithm; passive suspension; semiactive suspension; Mathematical model; Fuzzy logic control; Genetic Algorithm; Semi-active suspension;
Conference_Titel :
Circuits,Communications and System (PACCS), 2010 Second Pacific-Asia Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7969-6
DOI :
10.1109/PACCS.2010.5627012
