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NIE Wen-yan, WANG Zhong-gen. Design of direct torque control system of motor based on RBF neural network supervisio[J]. Journal of Mine Automation, 2013, 39(10): 52-55. DOI: 10.7526/j.issn.1671-251X.2013.10.014
Citation: NIE Wen-yan, WANG Zhong-gen. Design of direct torque control system of motor based on RBF neural network supervisio[J]. Journal of Mine Automation, 2013, 39(10): 52-55. DOI: 10.7526/j.issn.1671-251X.2013.10.014
shu

Design of direct torque control system of motor based on RBF neural network supervisio

  • 1.

    College of Electrical and Information Engineering, Huainan Normal University, Huainan 232001, China

  • 2.

    School of Electrical and Information Engineering, Anhui University of Science and Technology, H

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  • In view of problem of big torque ripple of motor when mine belt conveyor runs in low speed, the paper used RBF neural network supervision controller to replace PID controller on the basis of traditional direct torque control system of motor. The simulation results show that direct torque control system of motor based on RBF neural network supervision can effectively improve flux waveform, and reduce torque ripple of motor.
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