Pitch-Regulated Mechanism of the Neural Network Control Based onHebbina Supervised Learning Algorithm

摘要：

Pitch-regulated mechanism servo of wind turbine system is a slow time-variable nonlinear system. According to the requirement of the 1MW wind turbine with variable speed and constant frequency, the parameters of its PID controller need to be learned or adjusted at real time. Therefore, we design this neural net PID controller based on the Hebbina supervised learning algorithm to realize the self-study and self-regulating of the wind turbine pitch control with hydraulic system. According to the practical data collected from the operation of 1MW wind turbine, the learning speed (ηi) of Hebbina supervised learning algorithm can be fixed off-line so that the wind turbine can operate under good conditions. The paper gives the simulation results with comparison and the application of control strategy on the 1 MW wind turbine system.

作者: Xiangming WANG Dong ZENG Ying DENG Xingjia YAO Shiming YU

作者单位: Shenyang University of Technology, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）