Optimization of Fuzzy Logic Rules Based on Improved Genetic Algorithm

Abstract:

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This paper completes a full car semi-active suspension system model, using improved genetic algorithm approach to optimize the fuzzy logic rules and the co-simulation were carried out in the environment of Matlab/Simulink. The results of being compared with the passive suspension demonstrate is that this developed fuzzy logic controller based on genetic algorithm enhances the performance of the full car suspension system significantly.

Info:

Periodical:

Edited by:

Ran Chen

Pages:

1496-1499

DOI:

10.4028/www.scientific.net/AMM.44-47.1496

Citation:

R. Z. Gao et al., "Optimization of Fuzzy Logic Rules Based on Improved Genetic Algorithm", Applied Mechanics and Materials, Vols. 44-47, pp. 1496-1499, 2011

Online since:

December 2010

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$35.00

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