An Efficient Maximum Power Point Tracking Controller for Photovoltaic Systems Using Takagi-Sugeno Fuzzy Models

被引：18
|
作者：
Ounnas, D. [1 ]
Ramdani, M. [2 ]
Chenikher, S. [3 ]
Bouktir, T. [1 ]
机构：
[1] Univ Setif 1, Fac Technol, Dept Electrotech, Maabouda 19000, Setif, Algeria
[2] Univ Badji Mokhtar Annaba, Fac Engn, LASA Lab, Dept Elect, POB 12, Annaba 23000, Algeria
[3] Univ Tebessa, Fac Sci & Technol, Dept Elect Engn, LABGET Lab, Route Constantine, Tebessa 12002, Algeria
来源：
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2017年 / 42卷 / 12期
关键词：
Photovoltaic (PV) system; Maximum power point tracking (MPPT); T-S fuzzy model; Linear matrix inequalities (LMIs); INCREMENTAL CONDUCTANCE MPPT; PV; IMPLEMENTATION; SIMULATION; ALGORITHM;
D O I：
10.1007/s13369-017-2532-0
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This paper proposes a new Takagi-Sugeno (T-S) fuzzy model-based maximum power tracking controller to draw the maximum power from a solar photovoltaic (PV) system. A DC-DC boost converter is used to control the output power from the PV panel. Based on the T-S fuzzy model, the fuzzy maximum power point tracking controller is designed by constructing fuzzy gain state feedback controller and an optimal reference model for the optimal PV output voltage, which corresponds actually to maximum power point (MPP). A comparative study with the two base-line controllers of perturb and observe, and the incremental conductance shows that the proposed controller offers fast dynamic response, much less oscillation around MPP, and superior performance.
引用
收藏
页码：4971 / 4982
页数：12
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