Performance Analysis of Fuzzy Logic-based Controller for MPPT of PV Cell

被引：0
|
作者：
Radhacharan, Chandragiri [1 ]
Chandra, Toom Nithin [1 ]
机构：
[1] JNTUH Coll Engn, Dept Elect & Elect Engn, Jagtial, Telangana, India
来源：
HELIX | 2020年 / 10卷 / 04期
关键词：
MPPT; Photovoltaic; Boost Converter; Membership Functions; Fuzzy Logic;
D O I：
10.29042/2020-10-4-90-96
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
This paper presents the design of the fuzzy logic controller for maximum power point tracking (MPPT) of a PV cell. Output power of the PV cell is a function of solar irradiation, operating temperature and also depend on impedance seen by it. When there a change in any above parameters the power output of the PV cell goes apart from the maximum power point. so, there should be an algorithm which able to maintain output power at maximum power point. This paper uses a fuzzy logic-based algorithm for maximum power point tracking (MPPT). A change in irradiation level is provided to PV cell and the simulation results show it able to track the maximum power point and improve the dynamic response of the system. All Simulations are done in MATLAB 2020a software.
引用
收藏
页码：90 / 96
页数：7
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