Optimization Design of Fuzzy Control Rules Based on Ant Colony Algorithm

Ya Lang Xing; He Xin; Jin Cheng Zhao

doi:10.4028/www.scientific.net/AMM.716-717.1662

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 716-717Optimization Design of Fuzzy Control Rules Based...

Optimization Design of Fuzzy Control Rules Based on Ant Colony Algorithm

Abstract:

To avoid the fuzzy rules getting into “rule exploding” in fuzzy control system, a fuzzy control rules optimization algorithm based on compatibility coefficient is proposed. The method defines the compatibility coefficient of fuzzy rules, and the compatibility coefficient matrix is used to be the heuristic information in ant colony algorithm. Ant colony algorithm is used to optimize designed complete fuzzy rule base. Simulation results show that the fuzzy rules have good compatibility and control performance.

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Periodical:

Applied Mechanics and Materials (Volumes 716-717)

Pages:

1662-1665

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.716-717.1662

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Online since:

December 2014

Authors:

Ya Lang Xing*, He Xin, Jin Cheng Zhao

Keywords:

Ant Colony Algorithm, Compatibility Coefficient, Fuzzy Control Rules

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