基于模糊神经网络的超声电机的位置控制

Position Control of Ultrasonic Motor Using Fuzzy Neural Networks

超声电机的优良特性使其得到越来越广泛的应用,但由于其时变和非线性特性,使电机的速度和位置控制成为研究热点。文中将模糊神经网络用于电机的位置控制中,模糊逻辑部分获得专家知识,神经网络部分调整参数,通过改变超声电机的驱动频率来实现精确的位置控制,并通过实验和仿真来验证这种方法的有效性。

Ultrasonic motor has many distinct advantages but suffers from severe system nonlinearities and parameter variations.Speed and position control of USM is a key.This paper presents a new position control using fuzzy neural networks.The fuzzy neural networks at the start gains the expert knowledge through its fuzzy logic part.Furthermore,its neural networks part can tune the parameters so that precise position can be achieved.Finally experiments and simulations are adopted to validate its effect.