New Approach of Incremental Conductance Algorithm for Maximum Power Point Tracking Based on Fuzzy Logic

Othmani, Hichem; Mezghani, Dhafer; Belaid, Abdelkrim; Mami, Abdelkader

doi:10.14257/ijgdc.2016.9.7.13

Cited by 7 publications

(13 citation statements)

References 14 publications

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“…A DC/AC converter is the voltage inverter shown in the Figure 11A. It is controlled by a symmetrical regular sampling pulse width modulation strategy enabling, for each switching period, to give a variable average supply voltage across the motor terminals.…”

Section: Bg Modelling and Simulation Of The Hybrid Pumping Installationmentioning

confidence: 99%

Bond graph modelling and control enhancement of an off‐grid hybrid pumping system by frequency optimization

Mezghani

Mami

Dauphin-Tanguy

2020

Int J Numerical Modelling

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The climate's dependence requires a complex modelling and other optimization methods for the control of the hybrid system. Moreover, recently, and as for both the technological progression of the hardware and software, researchers may more and more optimize problems through the use of enabled platforms. The paper aims to discuss this issue. Our hybrid pumping installation contains a photovoltaic generator, a wind source, converters, and an induction motor‐pump group; it has a hybrid and complex character and requires a good modelling of the energetic point of view before passing the phase of design of control laws. So we use the graphical approach of modelling called dedicated graph for this type of system, and this tool showed very interesting results in the level of modelling, dimensioning, monitoring, and diagnosing. The numerical closed‐loop simulation of the complete model in an appropriate environment allows us to generate an optimization control in which the appropriate frequency depends on meteorological conditions. The simulations are made from the climatic conditions measured in a real system using a microcontroller ARDUINO board. These measurements are used to simulate the adopted control and to judge on the feasibility of our architecture adopted.

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Section: Bg Modelling and Simulation Of The Hybrid Pumping Installationmentioning

confidence: 99%

Bond graph modelling and control enhancement of an off‐grid hybrid pumping system by frequency optimization

Mezghani

Mami

Dauphin-Tanguy

2020

Int J Numerical Modelling

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“…Recently, several methods have been used to extract maximum power of the PVG [4-11, 9, 14-24]. In order to design an MPPT controller not only efficient, but also able to operate properly under all variations, we used fuzzy logic control which is one of the most known control techniques of the MPPT [10,11,[21][22][23]. In addition, the IC method is often applied in photovoltaic systems.…”

Section: B Mppt Based On Incremental and Conductancementioning

confidence: 99%

“…As a result, the uncertainties associated with these conditions have decreased the reliability of these techniques, especially as a result of changes in sunlight and temperature. Artificial intelligence techniques such as neural networks [9] and fuzzy logic [10,11] have the characteristics of adaptive and versatile mechanisms and are able to improve the performance of the control system in the presence of these uncertainties.…”

Section: Introductionmentioning

confidence: 99%

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FPGA Implementation of a Robust MPPT of a Photovoltaic System Using a Fuzzy Logic Controller Based on Incremental and Conductance Algorithm

Allani

Mezghani

Tadeo

et al. 2019

Eng. Technol. Appl. Sci. Res.

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Climate dependence requires robust control of the photovoltaic system. The current paper is divided in two main sections: the first part is dedicated to compare and evaluate the behaviors of three different maximum power point tracking (MPPT) techniques applied to photovoltaic energy systems, which are: incremental and conductance (IC), perturb and observe (P&O) and fuzzy logic controller (FLC) based on incremental and conductance. A model of a photovoltaic generator and DC/DC buck converter with different MPPT techniques is simulated and compared using Matlab/Simulink software. The comparison results show that the fuzzy controller is more effective in terms of response time, power loss and disturbances around the operating point. IC and P&O methods are effective but sensitive to high-frequency noise, less stable and present more oscillations around the PPM. In the second section, the FPGA platform is used to implement the proposed control. The FLC architecture is implemented on an FPGA Spartan 3E using the ISE Design Suite software. Simulation results showed the effectiveness of the proposed fuzzy logic controller.

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“…This command has the advantage of being robust. There are three steps considered to define the fuzzy controller concept: the fuzzification, the inference rules and the defuzzification [18], [19].…”

Section: ➢ the Fuzzy Logic Controllermentioning

confidence: 99%

Modelling and Control of The PV Power System Dedicated to The Greenhouse for Reduced Energy Consumption

Ur-Laper¹,

Ur-Laper²,

Ur-Laper³

2019

Adv. sci. technol. eng. syst. j.

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A control of the greenhouse when it is connected to the photovoltaic generator is described in this paper. The greenhouse is modulated by differential equations while the temperature and humidity are regulated using the fuzzy logic controller. The photovoltaic system can supply maximum power for a specified voltage and output current. In addition, the fuzzy logic method is used to follow the maximum power point (MPPT) of a photovoltaic system. Our system consists of a solar module, a DC/DC converter with MPPT control, a DC/AC inverter and a three-phase induction motor. In addition, a direct torque control (DTC) of the induction machine which is utilized to control the ventilation flow rate. The state of control is displayed through the simulation results performed with Matlab / Simulink.

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New Approach of Incremental Conductance Algorithm for Maximum Power Point Tracking Based on Fuzzy Logic

Abstract: Abstract

Cited by 7 publications

References 14 publications

Bond graph modelling and control enhancement of an off‐grid hybrid pumping system by frequency optimization

Bond graph modelling and control enhancement of an off‐grid hybrid pumping system by frequency optimization

FPGA Implementation of a Robust MPPT of a Photovoltaic System Using a Fuzzy Logic Controller Based on Incremental and Conductance Algorithm

Modelling and Control of The PV Power System Dedicated to The Greenhouse for Reduced Energy Consumption

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