Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT

Sharma, Chandani; Jain, Anamika

doi:10.11591/ijpeds.v6.i3.pp625-635

Cited by 17 publications

(14 citation statements)

References 35 publications

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“…The coordinate of the centroid is the defuzzified value and is given by equation (2.13). (13) where: D =Defuzzified value µ (Dj) =Degree of membership function Union of the membership functions is found by the MAX aggregation method. The 3D graph is represented in Figure 13, where x-axis is marked with the input e (error in voltage) and the y-axis is marked with the input che (change in error in voltage), while the z-axis is labeled as the output dc (duty cycle).…”

Section: Design Of Mpptmentioning

confidence: 99%

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Electromagnetic Modeling of Active Circuit using Wave Concept Iterative Process

Amri¹,

Zaabat²

2016

Bulletin EEI

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The wave concept iterative process is a procedure used for analyses planar circuits, this method consists in generating a recursive relationship between a wave source and reflected waves from the discontinuity plane which is divided into cells. A high computational speed has been achieved by using Fast Modal Transform (FMT). In this paper we study a patch antenna and MESFET transistor, to determine the electromagnetic characteristics of these structures. 1. Introduction The MESFET or GaAs FET as it is also called is a high performance form of field effect transistor that is used mainly for high performance microwave applications and in semiconductor RF amplifiers. The abbreviation MESFET stands for Metal-Semiconductor Field Effect Transistor. GaAs FET standars for Gallium Arsenide, the substance from wich this FET or field effect transistor is made. [9], [10] The GaAs FET or MESFET shares many features with the standard junction FET or JFET, although the MESFET is able to offer superior performance, especially in the region of RF microwave operation, especially for use within RF amplifiers. [1] In this paper, an iterative method is applied to active circuit, it consist in successive reflection between the circuit plan and its two sides. It also has an alternative behavior between space and spectral domains. In addition the discontinuity plan is divided into cells and characterized by scattering operator matrix depending on the boundary conditions. [2] This analysis is applied to calculate the S parameters of rectangular waveguide including a MESFET transistor.

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Section: Design Of Mpptmentioning

confidence: 99%

“…MPPT is designed using Buck (step down) converter and Fuzzy Logic Intelligent controller. The developed MPPT system regulates output voltage from panel and maximizes it relative to variations under distributed environmental conditions [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic Modeling of Active Circuit using Wave Concept Iterative Process

Amri¹,

Zaabat²

2016

Bulletin EEI

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“…Two different types of tracking systems are known: Passive and Active. Whereas a number of MPPT strategies are available based on single or multivariable approach designed using conventional or intelligent controllers [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Comparison of MPPT Systems in Error Optimization using PID, Fuzzy and Hybrid Fuzzy in Multivariable Environment

Sharma

Jain²

2018

Tr Ren Energy

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Recent surveys conducted in the field of Power Control and Engineering show that photovoltaic (PV) systems are currently being discussed worldwide and research on the same is being carried globally. It is necessary to optimize the expanding use of photovoltaic systems through error detection in Maximum Power Point Tracking (MPPT) systems. Through this paper, an attempt is made to develop an efficient photovoltaic MPPT system using hybrid fuzzy technique to extract maximum power under a multivariable environment (changing temperature and irradiance). The MPPT system using Hybrid Controller (combining PID & FLC) has an increased efficiency and optimized output in comparison to the MPPT system using PID and Fuzzy individually. The system has explored a concept of computing academic performance indices with three MPPT models for future research based on global MPP calculation.

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“…The techniques based variable step size overcomes the drawbacks of fixed step size. other techniques, such us P&O based hybrid MPPT, Variable step size modified P&O MPPT algorithm using GA−based hybrid A two−steps P&O algorithm and other techniques [15][16][17][18][19][20]. These methods are distinguished according to several aspects such as a number of sensors used, oscillations around the MPP, algorithm complexity, speed, ease of hardware implementation, cost and tracking efficiency [42].…”

Section: Introductionmentioning

confidence: 99%

Experimental Verification of the main MPPT techniques for photovoltaic system

Abdourraziq

Maâroufi

2017

IJPEDS

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Photovoltaic (PV) technology is one of the important renewable energy resources as it is pollution free and clean. PV systems have a high cost of energy and low efficiency, consequently, they not made it fully attractive as an alternative option for electricity users. It is essential that PV systems are operated to extract the maximum possible power at all times. Maximum Power Point (MPP) changes with atmospheric conditions (radiation and temperature), it is difficult to sustain MPP at all atmospheric levels. Many Maximum Power Point Tracking (MPPT) have been developed and implemented. These methods varied according to several aspects such as a number of sensors used, complexity, accuracy, speed, ease of hardware implementation, cost and tracking efficiency. The MPPT techniques presented in the literature indicate that Variable step size of Perturb & Observe(VP&O), Variable step size of Incremental Conductance (VINC) and Perturb & Observe (P&O) using Fuzzy Logic Controller (FLC) can achieve reliable global MPPT with low cost and complexity and be easily adapted to different PV systems. In this paper, we established theoretical and experimental verification of the main MPPT controllers (VP&O, VINC, and P&O using FLC MPPT algorithms) that most cited in the literature. The three MPPT controller has been tested by MATLAB/Simulink to analyze each technique under different atmospheric conditions. The experimental results show that the performance of VINC and P&O using FLC is better than VP&O in term of response time.

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Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT

Cited by 17 publications

References 35 publications

Electromagnetic Modeling of Active Circuit using Wave Concept Iterative Process

Electromagnetic Modeling of Active Circuit using Wave Concept Iterative Process

Comparison of MPPT Systems in Error Optimization using PID, Fuzzy and Hybrid Fuzzy in Multivariable Environment

Experimental Verification of the main MPPT techniques for photovoltaic system

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