测试科学与仪器2010，Vol.1Issue(2)：173-177,5.DOI:10.3969/j.issn.1674-8042.2010.02.18
Research on Power Control of Wind Power Generation Based on Neural Network Adaptive Control
Research on Power Control of Wind Power Generation Based on Neural Network Adaptive Control
摘要
Abstract
-For the characteristics of wind power generation system is multivariable,nonlinear and random,in this paper the neural network PID adaptive control is adopted.The size of pitch angle is adjusted in time to improve the performance of power control.The PID parameters are corrected by the gradient descent method,and Radial Basis Functinn(RBF)neural network is used as the system identifier in this method.Simulation results shaw that by using neural adaptive PID controller the generator power control can inhibit effectively the speed and affect the output power of generator.The dynamic performance and robustness of the controlled system is good,and the performance of wind power system is improved.关键词
wind power generaton/power control/PID adaptive control/neural networkKey words
wind power generaton/power control/PID adaptive control/neural network分类
天文与地球科学引用本文复制引用
Hai-ying DONG,Chuan-hua SUN..Research on Power Control of Wind Power Generation Based on Neural Network Adaptive Control[J].测试科学与仪器,2010,1(2):173-177,5.基金项目
This work was supported by the Science and Technology Major Special Projects Gansu(No.0801GKDAD58) （No.0801GKDAD58）
