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有源电力滤波器的模糊神经网络控制
引用本文:薛薇,钟琪,薛艳君.有源电力滤波器的模糊神经网络控制[J].自动化与仪表,2008,23(8).
作者姓名:薛薇  钟琪  薛艳君
作者单位:天津科技大学,电子信息与自动化学院,天津,300222
基金项目:国家自然科学基金,天津市科委资助项目
摘    要:针对有源电力滤波器APF是非线性、强耦合的复杂系统,难以建立精确的数学模型,因而使得智能控制技术在有源电力滤波器中的应用具有很大的潜力。该文设计出一种将模糊控制与神经网络控制相结合的模糊神经网络控制器FNNC,并将其应用到并联型有源电力滤波器的直流侧电压的控制中。通过仿真表明该控制策略具有可行性、较强的适应性和鲁棒性。

关 键 词:有源电力滤波器  智能控制  模糊神经网络控制  直流侧电压

Fuzzy Neural Network Control in Active Power Filter
XUE Wei,ZHONG Qi,XUE Yan-jun.Fuzzy Neural Network Control in Active Power Filter[J].Automation and Instrumentation,2008,23(8).
Authors:XUE Wei  ZHONG Qi  XUE Yan-jun
Abstract:Since APF is a non-linear and intensive coupling system,and it is hard to build a mathematical model precisely,it makes big potential for the intelligent control technology applications.Fuzzy neural network controller was designed in this paper,which was a proposal combining fuzzy control with neural network,and used the control method in DC voltage control of shunt APF.The simulation results show that the feasibility of the control strategy,the strong adaptability and robustness of the proposed control strategy.
Keywords:active power filter(APF)  intelligent control  fuzzy neural network control(FNNC)  DC voltage
本文献已被 CNKI 维普 万方数据 等数据库收录!
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