Control of a DC/DC converter by fuzzy controller for a solar pumping system

Mazouz, N.; Midoun, A.

doi:10.1016/j.ijepes.2011.06.016

Cited by 48 publications

(19 citation statements)

References 4 publications

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“…Therefore, the tracking control of the maximum power point is a complicated problem. To overcome these problems, many tracking control strategies have been proposed such as reactive power control [8], fuzzy logic controller (FLC) [9], neural network [10], and incremental conductance [11]. Figure 1 shows a photovoltaic energy system connected to an isolated load using a controlled DC/DC converter.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

Atawi

Kassem

2017

Energies

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This paper investigates how to increase the efficiency of a photovoltaic/energy storage generation unit supplying dynamic loads by regulating and managing both the photovoltaic generator and the storage battery charge-discharge modes. The proposed photovoltaic/energy storage unit is proposed to supply an induction motor driven industrial pump with controlled speed and/or a DC motor driven water pump. An optimal proportional-integral-derivative control based on an Artificial Bee Colony Optimization algorithm is used to regulate the photovoltaic generator in case of normal operation or in case of maximum power point tracking (MPPT) and to also control the battery storage charge discharge modes. A vector control based on the proposed optimal control is used to regulate the induction motor rotor speed at its low reference values needed by the industrial pump. First, a total model of the entire system is obtained. The controller performance with the proposed system is studied with both a DC motor and/or induction motor loads. Simulation results show that the proposed photovoltaic/storage generator is able to supply the suggested dynamic loads under different conditions and with good performance. Also, it is noticed that operating the photovoltaic base on maximum power point tracking condition will give about 43% extra generation power than the normal operation case.

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Section: Introductionmentioning

confidence: 99%

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

Atawi

Kassem

2017

Energies

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“…Switch-mode DC-DC conversion as a mature and well-established technology have been studied by many researchers in recent years [1][2][3][4][5]. Nonetheless, modeling and controlling of DC-DC converters in academic's research have been continued [6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Predictive Control of Step-Down DC-DC Converter Based on Hybrid System Approach

Sarailoo¹,

Rafiee²,

Rezaie³

2014

IJISA

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Abstract-In this paper, a fu zzy predict ive control scheme is proposed for controlling output voltage of a step-down DC-DC converter in presence of disturbance and uncertainty. The DC-DC converter is considered as a hybrid system and modeled by Mixed Logical Dynamical modeling approach. The main objective of the paper is to design a Fuzzy Pred ictive Control to achieve desired voltage output without increasing complexity of the hybrid model of DC-DC converter in various conditions. A model predictive control is designed based on the hybrid model and applied to the system. Although the performance of the model predictive control method is satisfactory in normal condition, it suffers from lack of robustness in presence of disturbance and uncertainty. So, to succeed in facing up to the problem a fu zzy supervisor is utilized to adjust the main predict ive controller based on the measured states of the system. In this paper it is shown that the proposed fuzzy pred ictive control scheme has advantages such as simplicity and efficiency in normal operation and robustness in presence of disturbance and uncertainty. Through simulat ions effectiveness of the proposed method is shown. Index Terms-Step-Down DC-DC Converter, Hybrid Model, Mixed Logical Dynamical Model, Model Predictive Control, Fuzzy Supervisor

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“…Modeling is one of the main steps in design and control of a system. Nowadays, by development in power electronic fields, there is a good attention to dc-dc converters [1][2][3][4]. In order to achieve a proper design and control, it is necessary to have an exact model of converter.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of buck–boost dc–dc converter and investigation of converter elements on transient and steady state responses

Mahery

Babaei

2013

International Journal of Electrical Power & Energy Systems

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Control of a DC/DC converter by fuzzy controller for a solar pumping system

Cited by 48 publications

References 4 publications

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

Fuzzy Predictive Control of Step-Down DC-DC Converter Based on Hybrid System Approach

Mathematical modeling of buck–boost dc–dc converter and investigation of converter elements on transient and steady state responses

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