基于模糊神经元混合控制器交流伺服系统的研究

The Study of AC Servo System with Fuzzy Neuron Mixed Controller

模糊控制与神经元／网络控制是人工智能控制的两大分支，目前这两种控制方法在交流伺服系统中都有一些应用，取得了较好的控制效果，但同时又有各自无法克服的缺点。本文将二者结合起来构成了模糊神经元混合控制器，在交流伺服系统中的仿真结果表明，不但解决了稳态精度的问题，而且保持了系统的鲁棒性和快速性。且控制结构简单、易于实现，为研究交流传动系统的智能控制提供了一条新途径。

Fuzzy control and neural network control are the two major branches of artificial intelligence control Now they have been applied to AC servo systems and good effects have been obtained,but both of them have shortcomings that cant be solved by themselves In this paper,they are combined together into a fuzzy neuron mixed controller(FNMC) and used in an AC servo system Simulation shows that FNMC has high precision in steady state with high robustness and is simple and easy to implemented The controller designed provide a new method for intelligent control for AC servo system