Intelligent Inverse Control to Maximum Power Point Tracking Control Strategy of Wind Energy Conversion System

摘要：

When the wind speed is below the rated value, the rbf neural network inverse controller is designed to achieve maximum power point tracking (MPPT) for wind energy conversion system,the simulation model is built based on the Matlab/Simulink.The results show that power coefficient and tip speed ratio has high accuracy of tracking the optimal power value,whats more,the neural network inverse control method is compared with conventional pi control,and the wind energy conversion system has better dynamic with the anns controller than that with pis.

关键词： Maximum Power Point Tracking Neural Network Inverse Control Wind Energy Conversion System

作者: Tai Li Z.C Ji

作者单位: Institute of Electrical Automation,Jiangnan University,214122,Wuxi,China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 970-974

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）