Design of Adaptive Controller of Brushless DC Motor Based on Fuzzy Genetic Algorithm

Ya Juan Chen; Yue Hong Zhang

doi:10.4028/www.scientific.net/AMM.644-650.179

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Design of Adaptive Controller of Brushless DC...

Design of Adaptive Controller of Brushless DC Motor Based on Fuzzy Genetic Algorithm

Abstract:

In this paper, an adaptive fuzzy PID controller based on genetic algorithm is designed. Brushless DC motor uses double closed loop control system. The adaptive fuzzy PID controller based on genetic algorithm is applied to outer ring speed ring, and PI controller is applied to inner ring. The simulation results show that, the designed brushless DC motor control system based on genetic algorithm optimization has a short rise time and no overshoot, small steady-state error and other advantages. And the system has strong robustness and adaptability.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

179-183

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.179

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Online since:

September 2014

Authors:

Ya Juan Chen*, Yue Hong Zhang

Keywords:

Brushless Dc Motor (BLDCM), Double Closed Loop Control, Fuzzy Control, Genetic Algorithm (GA)

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* - Corresponding Author

References

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