scholarly journals OPTIMAL TUNING OF FUZZY LOGIC CONTROLLER PARAMETERS FOR INCREMENTAL CONDUCTANCE MPPT CONTROLLER BASED ON GREY WOLF OPTIMIZER ALGORITHM

2017 ◽  
Vol 12 (45) ◽  
pp. 1417-1426 ◽  
Author(s):  
Saied Osman ◽  
Rania Mohamed ◽  
Mohamed Ebrahim ◽  
Fahmy Bendary
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Optimal Tuning ◽  
Incremental Conductance ◽  
Mppt Controller

Dynamic simultaneous adaptation of parameters in the grey wolf optimizer using fuzzy logic

2017 ◽  
Author(s):  
Luis Rodriguez ◽  
Oscar Castillo ◽  
Mario Garcia ◽  
Jose Soria ◽  
Fevrier Valdez ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Grey Wolf Optimizer ◽  
Grey Wolf

scholarly journals Optimization of Perturb and Observe Based Fuzzy Logic MPPT Controller for Independent PV Solar System

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Solar System ◽  
Fuzzy Logic Controller ◽  
Hill Climbing ◽  
The Novel ◽  
Search Technique ◽  
Climate Conditions ◽  
Perturb And Observe ◽  
Mppt Controller

In this paper, a novel intelligent Fuzzy Logic Controller (FLC) based on Maximum Power Extracting (MPE) of photovoltaic standalone system is proposed, which can handle the uncertainties of the rules under high deviations in climate conditions. Traditional Perturbation and Observation (P&O), hillclimbing MPE structures are examined. The MPE used a boost converter controller. The novel MPPT controller develops enhanced P&O based on possible power extractor search technique by fuzzifying rules of such method and eliminates the conventional drawback. A new FLC based improved P&O offers a precise and quick convergence to MPE during changing climatic and steady-state conditions compared to existing P&O and hill climbing method. The development of the suggested MPE is confirmed in simulation MATLAB at dissimilar operating circumstances.

scholarly journals Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems

2021 ◽  
Vol 18 (3) ◽  
pp. 351-384
Author(s):  
Noureddine Bouarroudj ◽  
Thameur Abdelkrim ◽  
Maissa Farhat ◽  
Vicente Feliu-Batlle ◽  
Boualam Benlahbib ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Membership Functions ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Mppt Controller ◽  
Power Point

Conventionally, the parameters of a fuzzy logic controller (FLC) are obtained by a trial and error method or by human experience. In this paper, the problem of designing a FLC for maximum power point tracking (MPPT) of a photovoltaic system (PV) that consists of a PV generator, a DC-DC boost converter and a lead-acid battery is studied. The normalization gains, the membership functions and the fuzzy rules are automatically adjusted using a particles swarm optimization algorithm (PSO) in order to maximize the criterion based on the integration of the PV module power under standard temperature condition (STC) (T=25?C and S=1000 W/m2). The robustness test of the optimized fuzzy logic MPPT controller (FLC-MPPT) is carried out under different scenarios. Simulation results of the system clearly show that the proposed optimized FLCMPPT controller outperforms in terms of maximum efficiency the FLC-MPPT controller not optimized, the FLC-MPPT controller with optimized normalization gains and the FLC-MPPT controller with optimized normalization gains and membership functions.

scholarly journals Voltage-MPPT Controller Design of Photovoltaic Array System Using Fuzzy Logic Controller

2014 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Faridoon Shabaninia ◽  
Milad Molazemhosseini ◽  
Seyed Hamidreza Abbasi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Photovoltaic Array ◽  
Mppt Controller
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