Optimization of Fuzzy Logic Rules Based on Improved Genetic Algorithm

Rui Zhen Gao; Zhi Qiang Xu; Jing Jun Zhang

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47Optimization of Fuzzy Logic Rules Based on...

Optimization of Fuzzy Logic Rules Based on Improved Genetic Algorithm

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 44-47)

Pages:

1496-1499

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.44-47.1496

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Online since:

December 2010

Authors:

Rui Zhen Gao, Zhi Qiang Xu, Jing Jun Zhang

Keywords:

Fuzzy Logic Rules, Improved Genetic Algorithm (IGA), Optimization, Semi-Active Suspension

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References

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