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.
针对异步电动机直接转矩控制系统低速性能差的问题，提出了两项改进措施。
Direct Torque control (DTC) is a AC speed regulation method with high dynamic performance developed after vector control.
在直接转矩控制系统中，异步电动机定子电阻为一变化值，从而影响了控制系统的低速性能。
The stator resistance of asynchronism electromotor in direct torque control system, is a variable value which influence the low speed performance of the system.
针对异步电动机直接转矩控制系统，基于三相异步电机方程提出一种新型的采用人工神经网络辨识电机转速的方法。
The paper presents a novel speed identification scheme based on the BP Neural Network for the DTC motor drive system.
本文首先介绍了异步电动机直接转矩控制的基本原理，从异步电动机的数学模型入手，逐步分析，从而得到磁链和转矩。
The thesis introduces the basic principle of Direct Torque Control on asynchronous motor. In the beginning, stator flux and torque can be got through a typical mathematics model of asynchronous motor.
因此本文对基于二极管筘位式三电平逆变器的异步电动机直接转矩控制系统进行了研究。
This paper focuses on the study of direct torque control of induction motor drive based on diode-clamped three-level inverters.
因此本文对基于二极管筘位式三电平逆变器的异步电动机直接转矩控制系统进行了研究。
This paper focuses on the study of direct torque control of induction motor drive based on diode-clamped three-level inverters.
应用推荐