基于小波神经网络空间矢量PWM的永磁同步电机驱动研究

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI:10.1109/ICICISYS.2009.5357934

Cai Bao-ping, L. Yonghong, Lin Qiang, Zhang Haifeng

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引用次数: 1

摘要

分析了空间矢量脉宽调制(SVPWM)的基本原理，提出了一种基于小波神经网络的空间矢量脉宽调制算法(WNN-SVPWM)。对BP神经网络空间矢量脉宽调制(BP- svpwm)和WNN-SVPWM进行了比较研究。仿真结果表明，与BP-SVPWM相比，WNN-SVPWM控制的永磁同步电动机具有更小的总电流谐波畸变和脉动转矩。研究了由WNN-SVPWM控制的永磁同步电动机闭环控制系统，实验结果表明，电压和电流波形良好，电机工作良好。

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The research of PMSM drive based on wavelet neural network space vector PWM

The basid 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 (BP-SVPWM) 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 BP-SVPWM. 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.

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2009 IEEE International Conference on Intelligent Computing and Intelligent Systems

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