Study on Intelligent Controller of Permanent Magnet Synchronous Motor

H. Ji; Zhi Yong Li

doi:10.4028/www.scientific.net/AMR.764.149

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 764Study on Intelligent Controller of Permanent...

Study on Intelligent Controller of Permanent Magnet Synchronous Motor

Abstract:

This paper puts forward a novel design method of controller based on BP neural network, which is applied to the permanent magnet synchronous motor (PMSM) double closed loop speed regulation system of speed regulator, by using the neural network controller instead of traditional PID controller. It applies the nonlinear adaptive ability of neural network for optimizing the control parameters of PID controller for PMSM. The simulation model was established in Matlab/Simulink. The simulation results indicate that the neutral network PID controller, compared with the traditional PID, has strong robustness and adaptive ability to the model and environments, indicating the good dynamic and static characteristics and control effects.

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Periodical:

Advanced Materials Research (Volume 764)

Pages:

149-153

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.764.149

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Online since:

September 2013

Authors:

H. Ji, Zhi Yong Li

Keywords:

BP Neural Network (BPNN), Permanent Magnet Synchronous Motor, PID Controller

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