基于神经网络的感应电机变频调速系统控制

Speed Control System of Motors Based on Artificial Neural Network Method

针对电机参数的复杂性和变频调速特性,提出了交流电机变频调速系统的神经网络逆系统控制方法;针对模型基本未知的连续非线性可逆系统,将神经网络对未知非线性函数的逼近和学习能力、逆系统相结合,给出神经网络阶逆系统和复合控制器的设计,仿真结果证明了理论的正确性。

According to the constant pressure frequency compared to the control request in view of the alternating current machine complexity and frequency conversion velocity modulation, the paper proposes the control method for alternating current adaptable frequency governing system series network inverse systems. In view of the basle unknown continual non-linearity bilateral system, the paper unifies the nerve network to unknown nonlinear function approaching with their learning capability and the inverse system, gives the nerve network alpha step counter system and the compound controller design.