A fuzzy control and neural network based rotor speed controller for maximum power point tracking in permanent magnet synchronous wind power generation system  

作　　者：Min Ding Zili Tao Bo Hu Meng Ye Yingxiong Ou Ryuichi Yokoyama 

机构地区：[1]School of Automation,China University of Geosciences,Wuhan 430074,P.R.China [2]Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,Wuhan 430074,P.R.China [3]Global Energy Interconnection Group Co.,Ltd,STATE GRID Corporation of China,Beijing 100032,P.R.China [4]School of Environment and Energy Engineering,Waseda University,Tokyo,169-8050,Japan

出　　处：《Global Energy Interconnection》2023年第5期554-566,共13页全球能源互联网（英文版）

基　　金：supported partially by the National Natural Science Foundation of China under Grant 61503348;the Hubei Provincial Natural Science Foundation of China under Grant 2015CFA010;the 111 project under Grant B17040

摘　　要：When the wind speed changes significantly in a permanent magnet synchronous wind power generation system,the maximum power point cannot be easily determined in a timely manner.This study proposes a maximum power reference signal search method based on fuzzy control,which is an improvement to the climbing search method.A neural network-based parameter regulator is proposed to address external wind speed fluctuations,where the parameters of a proportional-integral controller is adjusted to accurately monitor the maximum power point under different wind speed conditions.Finally,the effectiveness of this method is verified via Simulink simulation.

关 键 词：Maximum wind power tracking Fuzzy control Neural network 

分 类 号：TM614[电气工程—电力系统及自动化] TP183[自动化与计算机技术—控制理论与控制工程] TP273[自动化与计算机技术—控制科学与工程]