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基于D-FNN的混沌铁磁谐振系统非线性补偿控制方法
引用本文:马草原,刘建峰,高山,刘浩. 基于D-FNN的混沌铁磁谐振系统非线性补偿控制方法[J]. 工矿自动化, 2012, 38(11): 23-26
作者姓名:马草原  刘建峰  高山  刘浩
作者单位:中国矿业大学信电学院,江苏徐州,221116
摘    要:针对电网混沌铁磁谐振系统产生的混沌现象,提出基于动态模糊神经网络的混沌铁磁谐振系统非线性补偿控制方法。该方法采用动态模糊神经网络来逼近系统的非线性部分,消除了过电压的混沌现象,将系统稳定到目标位置,实现了对系统的非线性补偿控制。Matlab仿真结果表明,基于动态模糊神经网络的非线性补偿控制方法控制结果正确,响应快速。

关 键 词:电力系统  混沌铁磁谐振系统  动态模糊神经网络  非线性补偿  非线性控制

Nonlinear Compensation and Control Method of Chaotic Ferroresonance System Based on D-FNN
MA Cao-yuan,LIU Jian-feng,GAO Shan,LIU Hao. Nonlinear Compensation and Control Method of Chaotic Ferroresonance System Based on D-FNN[J]. Industry and Automation, 2012, 38(11): 23-26
Authors:MA Cao-yuan  LIU Jian-feng  GAO Shan  LIU Hao
Affiliation:(School of Information and Electrical Engineering of CUMT.,Xuzhou 221116,China)
Abstract:For chaotic phenomenon in chaotic ferroresonance system of power grid,the paper proposed a nonlinear compensation and control method of chaotic ferroresonance system based on dynamic fuzzy neural network.The method uses dynamic fuzzy neural network to approximate nonlinear part of the system,so as to eliminate the chaotic phenomenon of over-voltage and stabilize the system to target location,which achieves nonlinear compensation and control of the system.Matlab simulation results show that using the method can get correct result and fast response.
Keywords:power system  chaotic ferroresonance system  dynamic fuzzy neural network  nonlinear compensation  nonlinear control
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