基于模糊神经网络的永磁同步直线电机位置控制

2013 5th International Conference on Intelligent Networking and Collaborative Systems Pub Date : 2013-09-09 DOI:10.1109/INCOS.2013.112

Li Cailin, W. Dongmei

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引用次数: 3

摘要

提出了一种基于模糊神经网络(FNN)的位置伺服控制系统，使永磁同步直线电机(PMLSM)精确跟踪给定轨迹。该系统采用基于动态结构的BP (Back-Propagation)神经网络算法，在学习过程中改变隐层节点，提高系统控制效果。实验结果表明，该位置伺服系统具有较小的超调量和良好的位置精度。

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The Permanent Magnet Synchronous Linear Motor Position Control Based on Fuzzy Neural Network

A position servo control system based on fuzzy neural network (FNN) is proposed to make the permanent magnet synchronous linear motor(PMLSM) to track the given locus precisely. In the proposed system, Back-Propagation (BP) neural network algorithm based on dynamic structure is employed to change the nodes of hidden layer in learning process and improve the system control effect. The experimental results show the position servo system has a small overshot and good position precision.

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来源期刊

2013 5th International Conference on Intelligent Networking and Collaborative Systems

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