BP Neural Network PID control in adjustable-pitch wind turbine control system
This paper described a BP Neural Network PID control method applied in the Variable Speed adjustable pitch wind turbine control system, in order to solve non-linear, parameters time changing, anti-disturb and time-lag problems, in which the pitch exactor is driven by hydraulic unit.After analyzed the hydraulic oil path, transform function modal and parameters changing at three kinds of operation states, described the BP Neural Network PID control principles, then gave the simulation result based on 7.5kW trial Variable Speed Constant Frequency wind turbine design data method, compared with regular PID control method and analyzed the changing trend. Finally the conclusion is present.
风能发电 风力发电机 发电机组 自适应控制
Xing Zuoxia Zheng Qionglin Yao Xingjia
Beijing Jaotong University,100044,China Shenyang University of Technology,110023
国内会议
北京
英文
307-317
2005-05-25（万方平台首次上网日期，不代表论文的发表时间）