基于D-FNN的混沌铁磁谐振系统非线性补偿控制方法  

Nonlinear Compensation and Control Method of Chaotic Ferroresonance System Based on D-FNN

作　　者：马草原[1] 刘建峰[1] 高山[1] 刘浩[1] 

机构地区：[1]中国矿业大学信电学院,江苏徐州221116

出　　处：《工矿自动化》2012年第11期23-26,共4页Journal Of Mine Automation

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。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 thesystem, location so as to eliminate the chaotic phenomenon show that which using achieves nonlinear the method can get compensation and correct result and of over-voltage and stabilize the system to target control of the system. Matlab simulation results fast response.

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 

分 类 号：TD61[矿业工程—矿山机电]