DRNN Network DTC in Electromagnetic Continuously Variable Transmission

被引：0

作者：

Fu, Xingfeng ^{[1
]}

Luo, Yutao ^{[1
]}

Zhou, Sijia ^{[2
]}

Zhang, Yinxian ^{[2
]}

机构：

[1] South China Univ Technol, Dept Automobile Engn, Guangzhou 510640, Peoples R China

[2] South China Univ Technol, Guangdong EV Key Lab, Guangzhou 510640, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

Direct Torque Control; Motor Timing System; Robust Characteristic;

D O I：

10.1109/WCICA.2008.4594151

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to reduce the serious fluctuation of torque, fluxes and stator current in electromagnetic continuously variable transmission motor direct torque control, an amendatory direct torque control method based on the Diagonal Recurrent Neural Network technology was presented in this paper. This method can reduce the torque and flux ripple in static run and enhance the performance of low speed. The simulation experimental results indicate that this method may be feasible alternative and high robust capabilities.

引用

页码：7831 / +

页数：2

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