基于改进算法的自适应神经模糊推理系统控制的交流变频调速系统的研究与仿真

交流电动机是一个多变量、非线性对象,其静态和动态特性以及控制较之直流电动机要复杂得多。本文针对交流电动机矢量控制系统因电机参数变化和负载波动等因素而使性能变差的问题,设计了一种基于改进算法的自适应神经模糊推理系统（ANFIS）的交流电动机矢量控制系统速度调节器。仿真实验结果表明,使用自适应神经网络的模糊推理系统控制的异步电机矢量控制系统不仅动态和稳态性能都得到提高,而且具有较强的鲁棒性。

Research of AC Variable Frequency Speed Regulating Control System Based on Improved ANFIS

AC motor is a multivariable and non-linear object which is more difficult to control than DC motor.Due to the variation of motor parameters and load of the AC motor vector control system,an adaptive neuro-fuzzy inference system(ANFIS) is designed to use at the speed adjustment of the AC motor vector control system.Simulation results show that the induction motor vector control system with ANFIS can improve the static and dynamic performance of the motor and it has good robust.