全球能源互联网（英文）2023，Vol.6Issue(5)：554-566,13.DOI:10.1016/j.gloei.2023.10.004
基于模糊控制和神经网络的永磁同步风力发电系统最大功率跟踪控制方法
A fuzzy control and neural network based rotor speed controller for maximum power point tracking in permanent magnet synchronous wind power generation system
摘要
Abstract
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
最大风能跟踪/模糊控制/神经网络Key words
Maximum wind power tracking/Fuzzy control/Neural network引用本文复制引用
丁敏,陶自立,胡波,叶猛,欧迎雄,横山隆一..基于模糊控制和神经网络的永磁同步风力发电系统最大功率跟踪控制方法[J].全球能源互联网（英文）,2023,6(5):554-566,13.基金项目
This study was supported partially by the National Natural Science Foundation of China under Grant 61503348,the Hubei Provincial Natural Science Foundation of China under Grant 2015CFA010 and the 111 project under Grant B17040. （）
