Adaptive control;Lyapunov stability theory;Neural network;Wind energy conversion systems
期刊:
Energy Education Science & Technology, Part A: Energy Science and Research
ISSN:
1308-772X
年:
2011
卷:
28
期:
1
页码:
125-132
基金类别:
Research Foundation of Hunan Provincial Education DepartmentHunan Provincial Education Department [10C0356]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [60835004]; Graduate Innovation Foundation of Hunan Province [521298297[08], CX2009B065, CX2010B132]; Postdoctoral Foundation of Hunan University
机构署名:
本校为其他机构
院系归属:
电气与信息工程学院
能源与动力工程学院
摘要:
In this paper a neural network-based adaptive control strategy for variable-speed variable pitch wind energy conversion systems is proposed. It is based on neural network-based adaptive controller, which drives the tracking error to zero with user specified dynamics. The form of the network weight adaptation law for the neural network adaptive controller is derived from a Lyapunov stability theory. The numerical simulati...