Design a Fuzzy Logic Based Speed Controller for DC Motor with Genetic Algorithm Optimization

Abstract:

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In this paper, an intelligent speed controller for DC motor is designed by combination of the fuzzy logic and genetic algorithms. First, the speed controller is designed according to fuzzy rules such that the DC drive is fundamentally robust. Then, to improve the DC drive performance, parameters of the fuzzy speed controller are optimized by using the genetic algorithm. Simulation works in MATLAB environment demonstrate that the genetic optimized fuzzy speed controller became very strong, gives very good results and possesses good robustness.

Info:

Periodical:

Edited by:

Wu Fan

Pages:

2324-2330

DOI:

10.4028/www.scientific.net/AMM.110-116.2324

Citation:

N. Changizi et al., "Design a Fuzzy Logic Based Speed Controller for DC Motor with Genetic Algorithm Optimization", Applied Mechanics and Materials, Vols. 110-116, pp. 2324-2330, 2012

Online since:

October 2011

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Price:

$35.00

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