A fuzzy logic controller for stand alone PV systems

The major drawback of photovoltaic (PV) systems is their dependence on environmental conditions, such as solar radiation and temperature. Because of this dependency, maximum power point tracking (MPPT) control methods are used in PV systems in order to extract maximum power from the PV panels. This study proposes a controller with a hybrid structure based on angle of incremental conductance (AIC) method and Interval Type-2 Takagi Sugeno Kang fuzzy logic controller (IT2-TSK-FLC) for MPPT. MPPT performance of proposed hybrid controller is evaluated via detailed simulation studies and dSPACE-based experimental study. The results validate that the proposed hybrid controller offers fast-tracking speed, high stability, and robust performance against uncertainties arising from disturbance to inputs of the PV system.

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Novel maximum power point tracker for PV systems using interval type-2 fuzzy logic controller

2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia) ◽

10.1109/ifeec.2017.7992268 ◽

2017 ◽

Cited By ~ 2

Author(s):

Cheng-Yan Chuang ◽

Po-Syun Chen ◽

Chin-Cheng Hsu ◽

Jhih-Yu Li ◽

Jiann-Fuh Chen ◽

...

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Maximum Power ◽

Maximum Power Point ◽

Pv Systems ◽

Maximum Power Point Tracker ◽

Power Point ◽

Interval Type

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Power Efficiency Improvement of a Boost Converter Using a Coupled Inductor with a Fuzzy Logic Controller: Application to a Photovoltaic System

Applied Sciences ◽

10.3390/app11030980 ◽

2021 ◽

Vol 11 (3) ◽

pp. 980

Author(s):

Nabil Abouchabana ◽

Mourad Haddadi ◽

Abdelhamid Rabhi ◽

Alfio Dario Grasso ◽

Giuseppe Marco Tina

Keyword(s):

Fuzzy Logic ◽

Power Efficiency ◽

Fuzzy Logic Controller ◽

Main Idea ◽

Magnetic Core ◽

Photovoltaic System ◽

Efficiency Improvement ◽

Pv Systems ◽

Core Saturation ◽

The Magnetic Field

DC/DC converters are widely used in photovoltaic (PV) systems to track the maximum power points (MPP) of a photovoltaic generator (PVG). The variation of solar radiation (G) and PV cells temperature (T) affect the power efficiency of these DC/DC converters because they change the MPP, thus a sizing adaptation of the component values in these DC/DC converters is needed. Power loss in the inductor due to core saturation can severely degrade power efficiency. This paper proposes a new method that allows to adapt the inductor values according to the variable output power of the PV array in order to minimize losses and improve the converter power efficiency. The main idea is to replace the DC/DC inductor with a coupled inductor where the DC/DC inductor value is adjusted through an additional winding in the magnetic core that modulates the magnetic field inside it. Low current intensities from the PVG supply this winding through a circuit controlled by a fuzzy logic controller in order to regulate the second winding current intensity. Experimental results show a significant improvement of the power efficiency of the proposed solution as compared to a conventional converter.

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Comparison between proposed fuzzy logic and ANFIS for MPPT control for photovoltaic system

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v11.i2.pp1065-1073 ◽

2020 ◽

Vol 11 (2) ◽

pp. 1065

Author(s):

Lotfi Farah ◽

Adel Haddouche ◽

Ali Haddouche

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Photovoltaic System ◽

Pv System ◽

Pv Systems ◽

Point Tracking ◽

Power Point Tracking ◽

Neuro Fuzzy ◽

Current Variation ◽

Power Point

In this paper, a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is achieved based on fuzzy logic controller (FLC) and compared with an anfis (neuro-fuzzy) based mppt controller, this method allies the abilities of artificial neural networks in learning and the power of fuzzy logic to handle imprecise data. Both methods are simulated using matlab/ simulink. The choise of power variation and the current variation as inputs of the proposed controllersreducesthe calculation. Both FLC and ANFIS based MPPTare tested in terms of steady state performance and the pv system dynamic.

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