直接转矩控制系统状态选择器的一种新型设计方法

A new design method of state selector in direct torque control system

介绍了异步电动机直接转矩控制系统中状态选择器的一种新型设计方法—神经网络设计方法。阐明了神经网络状态选择器的结构设计、样本选取及训练方法。由仿真结果表明 ,采用此状态选择器构成的系统并行计算速度快。

A new design method of state selector in asynchronous machines direct torque control system—neural networks design method is introduced.The neural networks structure design,learning samples and training algorithms are expounded. The simulation results show that the system using this neural networks state selector has quickly parallel speed and high torque response.