Maximum power point tracking for a photovoltaic water pumping system with sliding mode control and fuzzy wavelet network

被引：0
|
作者：
Sefriti, Bouchra. [1 ]
Dahhani, Omar. [1 ]
Boumhidi, Ismail. [1 ]
机构：
[1] Univ Sidi Mohammed ben Abdellah, Lab Elect Signals Syst & Informat, Fac Sci Dhar Mehraz, Fez Atlas, Morocco
来源：
2015 INTELLIGENT SYSTEMS AND COMPUTER VISION (ISCV) | 2015年
关键词：
Sliding mode control; fuzzy wavelet network; photovoltaic pumping system; maximum power point tracking;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a maximum power point tracking method (MPPT) that combines fuzzy wavelet network with sliding mode control for a photovoltaic pumping system. For the best use, the photovoltaic (PV) generator must operate at its maximum power point (MPP). SMC uses a high switching gain to cover the neglected uncertainties in the system model. However, the SMC produces chattering phenomenon due to the higher needed switching gain, in the presence of large uncertainties. In order to reduce this gain, fuzzy wavelet network (FWN) technique is used in this work to predict the unknown part of the PV pumping system model, which enables the well description of the real system.
引用
收藏
页数：7
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