A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks

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	A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks
	Li, Chun-hua 1; Zhu, Xin-jian 1; Cao, Guang-yi 1; Hu, Wan-qi 2; Sui, Sheng 1; Hu, Ming-ruo 1
刊名	JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
	2009-02-01
卷号	10 期号:2 页码:263-270
关键词	Photovoltaic array Maximum power point tracking (MPPT) Fuzzy neural network controller (FNNC) Radial basis function neural network (RBFNN)
ISSN号	1673-565X
通讯作者	Li, CH
英文摘要	To extract the maximum power from a photovoltaic (PV) energy system, the real-time maximum power point (MPP) of the PV array must be tracked closely. The non-linear and time-variant characteristics of the PV array and the non-linear and non-minimum phase characteristics of a boost converter make it difficult to track the MPP for traditional control strategies. We propose a fuzzy neural network controller (FNNC), which combines the reasoning capability of fuzzy logical systems and the learning capability of neural networks, to track the MPP. With a derived learning algorithm, the parameters of the FNNC are updated adaptively. A gradient estimator based on a radial basis function neural network is developed to provide the reference information to the FNNC. Simulation results show that the proposed control algorithm provides much better tracking performance compared with the fuzzy logic control algorithm.
WOS标题词	Science & Technology ; Technology ; Physical Sciences
类目[WOS]	Engineering, Multidisciplinary ; Multidisciplinary Sciences ; Physics, Applied
研究领域[WOS]	Engineering ; Science & Technology - Other Topics ; Physics
关键词[WOS]	BOOST CONVERTER ; CONTROLLER ; PERFORMANCE ; VOLTAGE ; DRIVE
收录类别	SCI
语种	英语
WOS记录号	WOS:000263300800014
公开日期	2013-12-10
内容类型	期刊论文
版本	出版稿
源URL	[http://ir.ipe.ac.cn/handle/122111/6752]
专题	过程工程研究所_多相复杂系统国家重点实验室
作者单位	1.Shanghai Jiao Tong Univ, Fuel Cell Res Inst, Shanghai 200240, Peoples R China 2.Chinese Acad Sci, Inst Proc Engn, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Li, Chun-hua,Zhu, Xin-jian,Cao, Guang-yi,et al. A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks[J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A,2009,10(2):263-270.
APA	Li, Chun-hua,Zhu, Xin-jian,Cao, Guang-yi,Hu, Wan-qi,Sui, Sheng,&Hu, Ming-ruo.(2009).A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks.JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A,10(2),263-270.
MLA	Li, Chun-hua,et al."A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks".JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A 10.2(2009):263-270.