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。
A new design method of state selector in asynchronous machines direct torque control system-neural networks design method is introduced.
根据异步电动机直接转矩控制原理，提出了采用人工神经元网络速度辨识方法去实现无速度传感器的交流调速控制系统。
Based on the principle of the direct torque control, the novel identification method of induction motor speed using neural network in a speed-less sensor AC drive system was presented.
本文研究异步电动机的数学模型，并构建了直接转矩控制混合仿真系统，对直接转矩控制方法的特点及其存在的问题进行了理论与仿真分析研究。
In this thesis the author made a study of asynchronous motor model, designed a hybrid simulation system of DTC and analyzed the characteristics of the DTC system and the existing problems.
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