Comparative study between two intelligent MPPT-controllers implemented on FPGA: application for photovoltaic systems

被引：17

作者：

Chekired, F. ^{[1
,2
]}

Larbes, C. ^{[1
]}

Mellit, A. ^{[3
,4
]}

机构：

[1] Natl Polytech Sch Algiers, Lab Commun Devices & Photovolta Convers, Algiers 16200, Algeria

[2] Dev Unit Solar Equipments, Bousmail 42000, Algeria

[3] Jijel Univ, Fac Sci & Technol, Dept Elect, Jijel 18000, Algeria

[4] Abdus Salaam Int Ctr Theoret Phys, Trieste, Italy

来源：

INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY | 2014年 / 33卷 / 03期

关键词：

MPPT; photovoltaic; fuzzy logic; neuro-fuzzy; control; FPGA;

D O I：

10.1080/14786451.2012.742896

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

A comparison between two intelligent maximum power point tracking (MPPT) controllers for photovoltaic systems is presented in this article. The presented MPPTs are based on the fuzzy logic controller (FLC) and neuro-fuzzy controller (NFC). Both controllers are designed and implemented on a Xilinx (Virtex-IIV2MB1000) reconfigurable field programmable gate array using hardware description language. Implemented controllers have been simulated and tested under constant and rapid variation of atmospheric conditions. Results show that the NFC performs better than the FLC in the viewpoint efficiency, response time and stability; however, with regard to the simplicity of implementation, the FLC is less complicated than the NFC.

引用

页码：483 / 499

页数：17

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