摘要
以并列有源电流滤波器(APF)为模型,提出最小补偿电流原理与径向基函数神经网络相结合的谐波电流检测方法。仿真结果表明,该控制算法具有优越的稳态补偿精度、负荷变化适应性和动态性能。
Based on the model of parallel active current filter(APF),a harmonic current detection method based on the principle of minimum compensation current and radial basis neural network was proposed.Simulation results showed that the proposed control algorithm had advantages of steady-state compensation accuracy,load adaptability and dynamic performance.
作者
张磊
肖伸平
ZHANG Lei;XIAO Shenping(School of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou 412007,China;Key Laboratory for Electric Drive Control and Intelligent Equipment of Hunan Privence,Zhuzhou 412007,China)
出处
《电工技术》
2020年第19期1-3,共3页
Electric Engineering
关键词
有源电力滤波器
径向基函数神经网络
谐波电流检测
active power filter
radial basis function neural network
harmonic current detection
