The Research of PMSM Drive Based on Wavelet Neural Network Space Vector PWM

摘要：

The basic principle of space vector pulse width modulation (SVPWM) is analyzed, and a algorithm of SVPWM based on wavelet neural network (WNN-SVPWM) is proposed. The comparative study between BP neural network space vector pulse width modulation (BPSVPWM) and WNN-SVPWM is done. The simulation results show that the permanent magnet synchronous motor (PMSM) controlled by WNN-SVPWM has less total current harmonic distortion and pulsating torque than BPSVPWM. The closed-loop PMSM control system controlled by WNN-SVPWM is researched, and the experimental results show that the voltage and current waves are perfect, and the motor works well.

关键词： SVPWM PMSM wavelet neural network current harmonic distortion pulsating torque

作者: Cai Baoping Liu Yonghong Lin Qiang Zhang Haifeng

作者单位: College of Mechanical and Electronic China University of Petroleum,Dongying,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 51-55

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）