Wind Turbine Pitch Angle Control Based on ANFIS

被引：0
|
作者：
Xiao Jun [1 ]
Xiao Jiang [2 ]
Chen Wei [3 ]
机构：
[1] Gansu Elect Power Res Inst, Lanzhou, Peoples R China
[2] Lanzhou Power Supply Co, Lanzhou, Peoples R China
[3] Lanzhou Univ Technol, Gansu, Peoples R China
来源：
ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4 | 2013年 / 291-294卷
关键词：
wind turbine; pitch angle; ANFIS;
D O I：
10.4028/www.scientific.net/AMM.291-294.507
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Wind turbine pitch control need a higher demand due to the random changes in wind speed, this paper proposes using adaptive neural fuzzy inference system to control wind turbine pitch, and constructs a mathematical model of the wind turbine. Consider the error between the measured and the actual value of generator speed as the input to the controller. Take a simulation analysis to the adaptive neural fuzzy inference system controller under random wind speed. The simulation results show that the adaptive neural fuzzy inference system control strategy has good robustness and dynamic performance, to improve wind turbine pitch control is feasible and effective.
引用
收藏
页码：507 / +
页数：3
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