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Weighted-PSO Applied to Tune Sliding Mode Plus PI Controller Applied to a Boost Converter in a PV System

Author

Listed:
  • Gloria Milena Vargas Gil

    (Department of Energy Engineering and Electrical Automation, Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil
    These authors contributed equally to this work.)

  • Lucas Lima Rodrigues

    (Power electronic and smart grids laboratory, Federal University of ABC, Santo André 09210-170, Brazil
    These authors contributed equally to this work.)

  • Roberto S. Inomoto

    (Power electronic and smart grids laboratory, Federal University of ABC, Santo André 09210-170, Brazil
    These authors contributed equally to this work.)

  • Alfeu J. Sguarezi

    (Power electronic and smart grids laboratory, Federal University of ABC, Santo André 09210-170, Brazil
    These authors contributed equally to this work.)

  • Renato Machado Monaro

    (Department of Energy Engineering and Electrical Automation, Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil
    These authors contributed equally to this work.)

Abstract

In this paper, a sliding mode plus proportional-integral (PI) controller for a boost converter in a photovoltaic system is proposed. The proposed controller is characterized by being easy to implement and by operating with constant switching frequency. The parameters of the proposed controller are calculated using the weighted particle swarm optimization technique, ensuring low percentage of overshoot and short setting time. The use of this optimization technique allows one to ensure the stability of the controller. A linear lead-leg controller is considered in order to compare the performance of the proposed controller. Finally, experimental results using a solar kit are presented to verify the performance of the proposed controller.

Suggested Citation

  • Gloria Milena Vargas Gil & Lucas Lima Rodrigues & Roberto S. Inomoto & Alfeu J. Sguarezi & Renato Machado Monaro, 2019. "Weighted-PSO Applied to Tune Sliding Mode Plus PI Controller Applied to a Boost Converter in a PV System," Energies, MDPI, vol. 12(5), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:864-:d:211122
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    References listed on IDEAS

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    1. Messalti, Sabir & Harrag, Abdelghani & Loukriz, Abdelhamid, 2017. "A new variable step size neural networks MPPT controller: Review, simulation and hardware implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 221-233.
    2. Haiyan Lu & Weiqi Chen, 2006. "Dynamic-objective particle swarm optimization for constrained optimization problems," Journal of Combinatorial Optimization, Springer, vol. 12(4), pages 409-419, December.
    3. Carlos Segura & Carlos A. Coello Coello & Gara Miranda & Coromoto León, 2016. "Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization," Annals of Operations Research, Springer, vol. 240(1), pages 217-250, May.
    4. Karami, Nabil & Moubayed, Nazih & Outbib, Rachid, 2017. "General review and classification of different MPPT Techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 1-18.
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    Cited by:

    1. Angelo Lunardi & Luís F. Normandia Lourenço & Enkhtsetseg Munkhchuluun & Lasantha Meegahapola & Alfeu J. Sguarezi Filho, 2022. "Grid-Connected Power Converters: An Overview of Control Strategies for Renewable Energy," Energies, MDPI, vol. 15(11), pages 1-33, June.

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