神经网络控制APF抑制微电网谐波的研究
张霄梦
（河北工业大学 电气工程学院，天津 300130）
摘 要：针对微电网中的谐波污染问题，运用CMAC 神经网络与PID 算法相结合控制有源电力滤波器(APF)，抑制微电网谐波。该系统采用CMAC 前馈控制，确保系统响应速度，PID 后馈控制，来抑制扰动，仿真结果表明，该控制方法对微电网谐波有明显的抑制效果。
关键词：微电网；谐波抑制；小脑模型神经网络；有源电力滤波器
中图分类号：TM714.3 文献标识码：A 文章编号：1007-3175(2016)05-0010-03
Research on Cerebellar Model Articulation Controller of Active Power Filter to Suppress Micro-Grid Harmonics
ZHANG Xiao-meng
（School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China）
Abstract: Aiming at the problem of harmonic pollution in micro-grid, this paper combined the cerebellar model articulation controller(CMAC) with the proportion intergration differentiation (PID) algorithm to control the active power filter (APF). The system adopted the CMAC feedforward control to guarantee the system response speed and the PID feedback control to restrain disturbance. The simulation result shows that this control method has obvious inhibitory effect for micro-grid harmonics.
Key words: micro-grid; harmonic suppression; cerebellar model articulation controller; active power filter
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