Takagi-Sugeno fuzzy logic applied to a photovoltaic system for power maximization

被引：0
|
作者：
Cojocaru, Bogdan [1 ]
Abbes, Dhaker [1 ]
Aitouche, Abdel [2 ]
Perdigao, Marina [3 ]
Stefanoiu, Dan [4 ]
机构：
[1] HEI, Lab L2EP, Lille, France
[2] HEI, CRISTAL Lab, Lille, France
[3] IT Coimbra, Inst Telecomunicacoes, Coimbra, Portugal
[4] Univ Politehn Bucuresti, Bucharest, Romania
来源：
2017 19TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'17 ECCE EUROPE) | 2017年
关键词：
Photovoltaic; Converter control; Fuzzy control; Non-linear control;
D O I：
暂无
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：
This paper deals with Takagi-Sugeno fuzzy logic applied to an autonomous photovoltaic system for power maximization. It includes a DC-DC buck converter state model connected between the PV panel and the load in order to maximize the output power. The TS fuzzy MPPT controller is compared to the classical P&O and fuzzy Mandani algorithms. Results show that: thanks to its capacity to transform the non-linear system in a set of local linear sub-systems, Takagi-Sugeno approach leads to better performances.
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页数：7
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