PERMANENT MAGNET SYNCHRONOUS MOTOR DIRECT TORQUE CONTROL WITH ZERO VECTOR BASED ON INTELIGENT METHOD

被引：0

作者：

Li, Guang-Ye ^{[1
]}

Wan, Jian-Ru ^{[1
]}

Liu, Ying-Pei ^{[1
]}

Hong, Shen ^{[1
]}

Yuan, Chen-Hu ^{[1
]}

机构：

[1] Tianjin Univ, Inst Elect & Automat Engn, Tianjin 300072, Peoples R China

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

Permanent Magnet Synchronous Motor (PMSM); Direct Torque Control (DTC); Fuzzy Control; BBF Neural Networks;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There are many torque ripples in traditional direct torque control (DTC) for permanent magnet synchronous motor(PMSM) drive, which are caused by the error of flux linkage estimation and hysteresis band amplitudes,etc.To solve these problems, a radial basis Function (RBF) neural networks was designed to estimate the stator flux linkage, and fuzzy controller, in which zero-voltage vector is used, was designed to replace the traditional hysteresis controllers. Therefore, intelligence DTC strategy was accomplished. concerted control between flux linkage and torque is realized. The flux linkage error and torque error are classified reasonably by fuzzy controller and electromagnet torque ripples are dramatically reduced. Meanwhile, rapid torque response and strong robustness of direct torque control method are still maintained. The simulation and experiment results have verified the feasibility and effectiveness of this method.

引用

页码：755 / 760

页数：6