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Speed Control System of Inverter Using Fuzzy Neural Network

机译:基于模糊神经网络的变频器调速系统

摘要

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system for performing speed control using a fuzzy neural network having a dynamic expansion structure. The present invention relates to a speed setting unit (1), a speed controller (2; SC), a limiter (3), a vector operator (4), and a direct current / In the PI speed controller provided with the AC converter 5 and the speed measuring sensor 6 (PLG), the speed setting part 1 and the speed measuring sensor 6 are attached to the fuzzy controller 11 and the neural network controller 12. ) By connecting the output terminals of the fuzzy controller 11 and the neural network controller 12 (NNC) to the front end of the limiter 3, respectively, and adding the common fuzzy controller and neural network controller to the PI controller to be controlled. There is an advantage that can minimize the control error without being affected by the gain.
机译:用于具有动态扩展结构的模糊神经网络进行速度控制的系统技术领域本发明涉及一种用于使用具有动态扩展结构的模糊神经网络进行速度控制的系统。速度设定单元(1),速度控制器(2; SC),限制器(3),矢量运算器(4)以及直流电/具有交流转换器的PI速度控制器如图5所示,速度测量传感器6(PLG),速度设定部1和速度测量传感器6安装在模糊控制器11和神经网络控制器12上。)通过连接模糊控制器11和神经控制器11的输出端子来进行。网络控制器12(NNC)分别连接到限幅器3的前端,并将通用模糊控制器和神经网络控制器添加到要控制的PI控制器中。有一个优点是可以使控制误差最小,而不受增益的影响。

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