神经网络在感应电机直接转矩控制上的应用

Study of Neural Network Application on Direct Torque Control of Induction Machine

提出一种感应电机直接转矩控制 (DTC)BP神经网络电阻识别方案 ,神经网络电阻识别器按照定子电流和定子电阻之间的关系训练网络。利用MATLAB/SIMULINK建立仿真模型 ,完成DTC调速系统仿真研究。

This paper presented a BP neural network resistance estimation scheme for direct torque control (DTC) of induction machine.Simulation models are constructed using MATLAB/SIMULINK to analysis the application of the neural on the DTC, which is trained to follow the relationship between the stator current and stator resistance.Improved performance such as dynamics characteristic can be testified through the simulation.