The Brushless DC Motor Adaptive Fuzzy PID Servo Controller Design

Gong She Shi; Lei Huang; Wei Hu

doi:10.4028/www.scientific.net/AMM.246-247.838

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 246-247The Brushless DC Motor Adaptive Fuzzy PID Servo...

The Brushless DC Motor Adaptive Fuzzy PID Servo Controller Design

Abstract:

The brushless DC motor (BLDCM) non-linear and the complexity of the working conditions are likely to cause the conventional PID servo control performance is not satisfactory. In order to improve the performance of the BLDCM servo control system and PID parameter tuning efficiency, this paper designs an adaptive fuzzy PID controller. Fuzzy logic PID controller parameters Kp, Ki, Kd are adjusted online real time to achieve the effect of optimal control, the BLDCM speed is as to the control object, and in the Matlab of Simulink toolbox simulation is used to achieve speed closed loop of BLDCM. According to comparative analysis of the conventional PID and adaptive fuzzy PID of Dynamic response curve, adaptive Fuzzy PID quick start for brushless DC motors, anti-disturbance has better control effect.

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Periodical:

Applied Mechanics and Materials (Volumes 246-247)

Pages:

838-841

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.246-247.838

Citation:

Cite this paper

Online since:

December 2012

Authors:

Gong She Shi, Lei Huang, Wei Hu

Keywords:

Brushless Dc Motor (BLDCM), Fuzzy Logic, Parameter Self-Tuning, PID Controller

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