Implementation of a Maximum Power Point Tracking fuzzy controller on FPGA circuit for a photovoltaic system

被引:0
|
作者
Abbes, Hanen [1 ]
Loukil, Kais [1 ]
Abid, Hafedh [2 ]
Abid, Mohamed [1 ]
Toumi, Ahmad [2 ]
机构
[1] Univ Sfax, Natl Sch Engn Sfax, Lab Comp & Embedded Syst Lab CES, POB 1173, Sfax 3038, Tunisia
[2] Univ Sfax, Natl Sch Engn Sfax, Lab Sci & Tech Automat Control & Comp Engn Lab ST, Sfax 3038, Tunisia
关键词
Photovoltaic; MPP; controller; Fuzzy Logic; design; FPGA;
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
Owing to the complexity of photovoltaic systems and their specific behavior, researchers are substantially prompted by the FPGA circuit for prototyping and testing photovoltaic system. In addition, to improve the efficiency of the photovoltaic system, Maximum Power Point Tracking (MPPT) is an essential technique that enables photovoltaic panel delivers its maximum output power. Fuzzy logic technique seems to be an efficient solution that ensures optimal operation of photovoltaic system. For this end, this work aim to implement a fuzzy logic MPPT technique on FPGA circuit to control a photovoltaic system. The system composed of photovoltaic panel, boost converter and the fuzzy logic controller using FPGA device to control boost converter switch is designed and implemented. Simulation results exhibit an efficient operation of FPGA based photovoltaic system.
引用
收藏
页码:386 / 391
页数:6
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