永磁同步伺服电机FNN控制的仿真分析

Analysis of the Simulation for FNN Controller of a Permanent Magnet Synchronous Servo Motor

模糊神经网络结合了模糊控制和神经网络的优点,已广泛用在交流电机控制系统的研究中。本文作者利用MATLAB/SIMULINK仿真软件,建立了基于IP—模糊神经网络控制器的永磁同步电机仿真模型,实验结果表明:采用比例积分控制器(IP)—模糊神经网络控制时系统具有良好的抗干扰性,提高了控制精度和鲁棒性。

Combined with fuzzy control and neural network, the fuzzy neural network （FNN） has been extensively used in AC motor control system. Using MATLAB/SIMULINK software, this paper introduces the simulation model of a permanent magnet synchronous servo motor drive with integral proportional（IP） and fuzzy neural network （FNN） controller. The simulation results show that this method increases the control precision and the robust performance of the system.