Adaptive Neuro-fuzzy Algorithm for Pitch Control of Variable-speed Wind Turbine

doi:10.1007/s12555-021-0675-y

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Adaptive Neuro-fuzzy Algorithm for Pitch Control of Variable-speed Wind Turbine
	Asghar, Aamer Bilal 1; Naveed, Khazina 2; Xiong, Gang3,4 ; Wang, Yong 5
发表期刊	INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
ISSN	1598-6446
	2022-09-29
页码	11
通讯作者	Wang, Yong(wangyong@ucas.ac.cn)
摘要	With increasing size of wind turbines (WTs), the power regulation and fatigue loads on WT structures emerge as major problems to wind power industry. Pitch angle is scheduled above the rated wind speed to keep the power captured by variable-speed wind turbine (VSWT) around its rated value and release the fatigue load on WT structure. In this paper, a hybrid intelligent learning based adaptive neuro-fuzzy algorithm is proposed to schedule the pitch angle of 2 Megawatt (MW) VSWT. The artificial neural network (ANN) trains the parameters of fuzzy membership functions (MFs) using least squares estimator method in forward pass and back propagation gradient descent method in backward pass. The simulation is done in MATLAB and results are compared with multilayer perceptron feed-forward neural network (MLPFFNN) and fuzzy logic-based pitch controllers. The results indicate the effectiveness of proposed neuro-fuzzy algorithm which outperforms the other two methods.
关键词	ANFIS fuzzy logic control MLPFFNN pitch control wind turbine (WT)
DOI	10.1007/s12555-021-0675-y
关键词[WOS]	PHOTOVOLTAIC SYSTEM ; LOGIC
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61872365] ; National Natural Science Foundation of China[61773381] ; National Natural Science Foundation of China[U1909218] ; National Natural Science Foundation of China[U1909204] ; National Natural Science Foundation of China[U19B2029] ; Chinese Guangdong's ST project[2019B1515120030] ; Chinese Guangdong's ST project[2020B0909050001]
项目资助者	National Natural Science Foundation of China ; Chinese Guangdong's ST project
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:000863164800008
出版者	INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/50395
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang, Yong
作者单位	1.COMSATS Univ Islamabad, Dept Elect & Comp Engn, Lahore Campus, Islamabad, Pakistan 2.COMSATS Univ Islamabad, Dept Comp Sci, Lahore Campus, Islamabad, Pakistan 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Cloud Comp Ctr, Beijing, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Asghar, Aamer Bilal,Naveed, Khazina,Xiong, Gang,et al. Adaptive Neuro-fuzzy Algorithm for Pitch Control of Variable-speed Wind Turbine[J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS,2022:11.
APA	Asghar, Aamer Bilal,Naveed, Khazina,Xiong, Gang,&Wang, Yong.(2022).Adaptive Neuro-fuzzy Algorithm for Pitch Control of Variable-speed Wind Turbine.INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS,11.
MLA	Asghar, Aamer Bilal,et al."Adaptive Neuro-fuzzy Algorithm for Pitch Control of Variable-speed Wind Turbine".INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2022):11.