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

页码：4971 / 4982

页数：12

共 50 条

[21] Adaptive fuzzy control of nonaffine nonlinear systems using Takagi-Sugeno fuzzy models
Yoon, PS
Park, JH
Park, GT
10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE, 2001, : 642 - 645
[22] Observers for Takagi-Sugeno fuzzy systems
Bergsten, P
Palm, R
Driankov, D
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2002, 32 (01): : 114 - 121
[23] On Stability of Takagi-Sugeno Fuzzy Systems
Fan, Donghong
Song, Lixia
2009 SECOND INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING: KAM 2009, VOL 3, 2009, : 263 - +
[24] Maximum Power Point Tracking of Photovoltaic Systems using Backstepping Controller
Rafika, El Idrissi
Abbou, Ahmed
Rhaili, Salahddine
Salimi, Mahadi
2017 INTERNATIONAL CONFERENCE ON ENGINEERING AND TECHNOLOGY (ICET), 2017,
[25] Fuzzy controller design for discrete controllability canonical Takagi-Sugeno fuzzy systems
Chang, WJ
Sun, CC
Chung, HY
IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 2004, 151 (03): : 319 - 328
[26] Robust Fuzzy Controller For Photovoltaic Maximum Power Point Tracking
Kamal, E.
Aitouche, A.
Kuzmych, Oena
2013 21ST MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2013, : 1304 - 1309
[27] Positive Observer Based Tracking Controller Design for Takagi-Sugeno Systems
Zaidi, Ines
Tadeo, Fernando
Chaabane, Mohamed
2013 10TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2013,
[28] Maximum Power Point Tracking of Photovoltaic System Using Adaptive Fuzzy Controller
Refaat, Mohamed M.
Atia, Yousry
Sayed, M. M.
Fattah, Hossam A. Abdel
2017 INTL CONF ON ADVANCED CONTROL CIRCUITS SYSTEMS (ACCS) SYSTEMS & 2017 INTL CONF ON NEW PARADIGMS IN ELECTRONICS & INFORMATION TECHNOLOGY (PEIT), 2017, : 127 - 131
[29] Takagi-Sugeno Fuzzy Controller Structures for Twin Rotor Aerodynamic Systems
Roman, Raul-Cristian
Precup, Radu-Emil
Radac, Mircea-Bogdan
Petriu, Emil M.
2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2017,
[30] Takagi-Sugeno Fuzzy Systems Applied to Voltage Prediction of Photovoltaic Plants
Rosato, Antonello
Altilio, Rosa
Araneo, Rodolfo
Panella, Massimo
2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2017,

← 1 2 3 4 5 →