应用于泵站的双馈电机非线性控制研究

Nonlinear Control Research on Doubly-Fed Machine System at Pumping Stations

介绍了应用于泵站的双馈电机数学模型和背靠背变换器的基本工作原理。研究了神经网络在双馈电机矢量控制系统中的应用,分别对采用比例积分控制器和神经网络控制器的仿真结果进行了比较。结果显示基于神经网络的矢量控制系统具有更好的动态特性。

Introduction was made to the mathematical model of doubly-fed machine and the basic working principle of back-to-back converter. The application of neural network in the doubly-fed machine vector control system was studied. The simulative results of the system with a proportional plus integral controller were compared with that of a neural network controller. The results show that the vector control system based on neural network is in possession of better dynamic characteristics.