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基于模糊单神经元控制的磁力轴承控制研究
引用本文:陈霞.基于模糊单神经元控制的磁力轴承控制研究[J].中原工学院学报,2007,18(3):13-16.
作者姓名:陈霞
作者单位:武汉理工大学,机电工程学院,武汉,430070
摘    要:针对磁力轴承的本质不稳定性和非线性,结合模糊控制和单神经元PID控制各自的特点,提出了一种模糊与单神经元控制相结合的控制方法.当系统偏差较大时,模糊控制器起主要的调节作用,同时加上适量的单神经元控制;当系统偏差较小时,单神经元控制和模糊控制同时起作用.该控制器克服了模糊控制存在稳态偏差和单神经元控制动态性能差的缺陷.仿真表明,使用该控制器可以实现磁悬浮转子的快速起浮,且超调量小、抗干扰能力强.

关 键 词:磁力轴承  模糊控制  单神经元
文章编号:1671-6906(2007)03-0013-04
收稿时间:2006-09-30
修稿时间:2006-09-30

Research of Magnetic Bearing Control Based on Fuzzy Logic and Single Neuron
CHEN Xia.Research of Magnetic Bearing Control Based on Fuzzy Logic and Single Neuron[J].Journal of Zhongyuan Institute of Technology,2007,18(3):13-16.
Authors:CHEN Xia
Affiliation:Wuhan University of Technology, Wuhan 430070,China
Abstract:For the highly nonlinearity and unstable ability of the AMB system,a fuzzy-neuron control approach is proposed in this paper by combining the fuzzy logic scheme with single neuron control to improve the performance of the control system.Fuzzy logic control is adopted with proper single neuron control when system error is big;two controllers are both working when error is small.This controller overcomes the defaults of the fuzzy control which has steady state error and the single neuron control which dynamic performance is not very well.Simulation results demonstration that the proposed controller not only improves the dynamic performance of AMB system but also has high disturbance rejection ability.
Keywords:PID
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