电气传动2012，Vol.42Issue(6)：27-31,5.
基于模糊神经网络的直接转矩控制系统研究
Study of Direct Torque Control System Based on Fuzzy Neural Network
张广远 1刘文生 1王旭阳1
作者信息
- 1. 大连交通大学电气信息学院,辽宁大连116028
- 折叠
摘要
Abstract
Traditional direct torque control method which used discrete two-point conditioner is easy to generate a great torque ripple , when it controls the size of the motor flux and torque. Proposed a new method of Takagi-Sugeno fuzzy Neural Network. The method is combined with fuzzy and neural network, and building the fuzzy neural network controller. It can calculate the offset voltage using discrete voltage space vector, to improve motor control performance. Finally, the Matlab simulation results show that the new method can improve the performance of induction motor low speed, reduce the torque ripple. It has a good dynamic response and self-adaptive capacity.关键词
转矩脉动/模糊神经网络/离散电压空间矢量/自适应Key words
torque ripples fuzzy neural network/ discrete voltage space vectors self-adaptive分类
信息技术与安全科学引用本文复制引用
张广远,刘文生,王旭阳..基于模糊神经网络的直接转矩控制系统研究[J].电气传动,2012,42(6):27-31,5.
