Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment

Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment

This paper proposes a novel controller optimization of boost converter by tunning two controllers of voltage and current in PV (Photovoltaic) boost converters: Sliding Mode Control (SMC) or Sliding Mode plus Proportional-Integrative. Genetic Algorithm (GA) optimization is applied in a Internet of Th...

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Bibliographic Details
Main Authors: Roberto Inomoto, Alfeu J. Sguarezi Filho, José Roberto Monteiro, Eduardo C. Marques da Costa
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Control and Optimization
Subjects:
Photovoltaic
Boost converter
Maximum power point tracking
Genetic algorithm
Sliding mode control
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720724000195

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