2020
DOI: 10.1016/j.matpr.2020.02.144
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Maximum Power Point Tracking of solar photovoltaic cell using Perturb & Observe and fuzzy logic controller algorithm for boost converter and quadratic boost converter

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Cited by 21 publications
(9 citation statements)
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“…A sliding mode MPPT based improved krill herd algorithm for variable step size P&O strategy is proposed in (Latifi et al, 2021), adaptive MPPT based sliding mode and fuzzy controls (Miqoi et al, 2019), optimized MPPT algorithm based on fuzzy logic control (Farajdadian and Hosseini, 2019). Recent studies (Dorji et al, 2020;Pandey et al, 2022) have compared between perturb and observe (P&O) and fuzzy logic based on PV-MPPT algorithms. Simulation results confirm the effectiveness of the FLC method.…”
Section: Figurementioning
confidence: 99%
“…A sliding mode MPPT based improved krill herd algorithm for variable step size P&O strategy is proposed in (Latifi et al, 2021), adaptive MPPT based sliding mode and fuzzy controls (Miqoi et al, 2019), optimized MPPT algorithm based on fuzzy logic control (Farajdadian and Hosseini, 2019). Recent studies (Dorji et al, 2020;Pandey et al, 2022) have compared between perturb and observe (P&O) and fuzzy logic based on PV-MPPT algorithms. Simulation results confirm the effectiveness of the FLC method.…”
Section: Figurementioning
confidence: 99%
“…where I is the cell o/p current, I p is the photocurrent, I d is the saturation current, q is the charge of an electron (1.6 e19 C), V is the PV cell output voltage, Rs is the series resistance, K is Boltzmann's constant (1.38 e23 J/K), T is the temperature (K), n is the ideality factor (1∼2), and Rsh is the parallel resistance. e photocurrent is calculated in equation ( 2) [18] depending on solar irradiance and cell temperature.…”
Section: Solar Pv Arraymentioning
confidence: 99%
“…Researchers were mainly interested in the design of the adequate and the effective methods of analysis and control to achieve requirements like stability, 11 performances, and to deal, as well, with physical limitations of the converter elements. To this end, fuzzy logic‐based techniques are used in many works 12,13 and ensured satisfactory results. Nevertheless, fuzzy logic techniques need an accurate knowledge of the system behavior based on the human experience.…”
Section: Introductionmentioning
confidence: 99%