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Vector Control of Three Phase Permanent Magnet Synchronous Motor Based on Neural Network Sliding Mode Speed Controller

  • Jingli Miao
  • Wangyu QinEmail author
  • Dawei Zheng
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 980)

Abstract

In order to improve the speed regulation performance of the three-phase permanent magnet synchronous motor drive system, based on the mathematical model of the surface-mount permanent magnet synchronous motor in the d, q rotating coordinate system, a neural sliding mode speed controller is proposed. Firstly, the sliding mode controller is established by the approach rate method, and the stability analysis is carried out. Then based on this, combined with the radial basis function neural network to derive the control rate of the system. The method can effectively reduce chattering and improve the control performance of the system while maintaining the robustness of the sliding mode controller. The simulation results show that the system can track the reference speed quickly and has strong robustness to load disturbance.

Keywords

Permanent magnet synchronous motor Sliding mode control RBF neural network Vector control 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Information and Electrical EngineeringHeBei University of EngineeringHandanChina

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