Fuzzy Logic Controller Based Perturb and Observe Algorithm for Photovoltaic Water Pump System

2018 ◽  
pp. 155-161
Author(s):  
Amel Abbadi ◽  
Hamidia Fethia ◽  
Morsli Abdelkader ◽  
Boukhetala Djemel ◽  
Nezli Lazhari
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Water Pump ◽  
Pump System ◽  
Perturb And Observe

Sizing and modelling of stand-alone photovoltaic water pumping system for irrigation

2018 ◽  
Vol 29 (4) ◽  
pp. 473-491 ◽  
Author(s):  
Santosh Singh Raghuwanshi ◽  
Vikas Khare
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Solar Photovoltaic ◽  
Water Pump ◽  
Pump System ◽  
Pumping System ◽  
Water Pumping ◽  
Integral Controller ◽  
Proportional Integral Controller ◽  
Solar Water Pump

The aim of this study is to calculate the size of the stand-alone solar photovoltaic generator and water pumping system for irrigation. In addition solar photovoltaic generator connects voltage source inverter to vector controlled induction motor-pump system. Perturb and observe method is used for harvesting maximum power of photovoltaic generator. The smooth-starting of motor-pump drive is achieved through the maximum power point tracking method. The operational performance of the solar-water-pump system is kept at 60 m head and supply daily average 35,000 L/day. In this paper result is validated by the comparison fuzzy logic controller and proportional-integral controller, driven by solar-motor-pump system. The results confirmed that fuzzy logic controller based pumping system gives more accurate results as compared to proportional-integral controller based motor-pump system. The fuzzy logic controller increases the accuracy and efficiency of the solar-water-pump system.

scholarly journals Sizing and implementation of Photovoltaic Water Pumping System for Irrigation

2018 ◽  
Vol 7 (1) ◽  
pp. 54
Author(s):  
Santosh S. Raghuwanshi ◽  
Vikas Khare
Keyword(s):  
Fuzzy Logic Controller ◽  
Setting Time ◽  
Weather Conditions ◽  
Pi Controller ◽  
Voltage Source ◽  
Solar Photovoltaic ◽  
Pump System ◽  
Pumping System ◽  
Water Pumping ◽  
Perturb And Observe

<p>Solar photovoltaic systems convert energy of light directly into electrical<br />energy. This work presents, a process to compute the required size of the<br />stand-alone solar photovoltaic generator based water pumping system<br />for an existing area. In addition solar photovoltaic generator is<br />connecting voltage source inverter fed vector controlled induction<br />motor-pump system. Perturb and observe are used for harvesting<br />maximum power of PV generator in between buck-boost DC converter<br />and inverter system. In this paper system result is validated by fuzzy<br />logic system and compare with variable frequency drives based PI<br />controllers, driving motor-pump system. The operational performance<br />at 60 m head, VFD based controllers in terms overshoot and setting time<br />and also analysis performance of motor-pump set under different<br />weather conditions. By assessment of system we find that speed and<br />torque variation, overshoot and settling time is more with PI controller,<br />Fuzzy logic controller (FLC) performance have dominance to VFD<br />based PI controller.</p>

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 MPPT using novel FLC based MPO for photovoltaic system

2019 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
R. Arulmurugan
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Search Method ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Hill Climbing ◽  
Climate Conditions ◽  
Perturb And Observe

In this paper introduces a novel Fuzzy Logic Controller (FLC) as a Maximum Power Extracting (MPE) of photovoltaic standalone system is proposed, which can handle the uncertainties of the rules under high deviations in climate conditions. Conventional Perturb and Observe (P &amp; O), hill-climbing MPE structures are examined. The MPE employed boost converter controller. The new controller improves P &amp; O based maximum power tracker search method by rules fuzzifying of such method and eliminates the conventional drawback. A new FLC based improved P &amp; O offers an accurate and fast converging to MPE during steady state and changing climatic situation compared to existing P &amp; O and hill climbing method. The performance of the designed MPE is demonstrated in simulation MATLAB at dissimilar operating circumstances.

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