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。
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.
出处
《自动化与仪表》
2008年第8期35-39,共5页
Automation & Instrumentation
基金
国家自然科学基金项目(10772135)
天津市科委自然基金项目(07JCYBJC05800)
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
active power filter（APF）
intelligent control
fuzzy neural network control（FNNC）
DC voltage
