IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i8p1255-d791175.html
   My bibliography  Save this article

Adaptive Sliding-Mode Controller for Flyback-Based PV Systems Featuring Constant Switching Frequency

Author

Listed:
  • Carlos Andres Ramos-Paja

    (Facultad de Minas, Universidad Nacional de Colombia, Medellin 050041, Colombia
    These authors contributed equally to this work.)

  • Oscar Danilo Montoya

    (Grupo de Compatibilidad e Interferencia Electromagnética, Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia
    Laboratorio Inteligente de Energía, Facultad de Ingeniería, Universidad Tecnológica de Bolívar, Cartagena 131001, Colombia
    These authors contributed equally to this work.)

  • Luis Fernando Grisales-Noreña

    (Facultad de Ingeniería, Campus Robledo, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia
    These authors contributed equally to this work.)

Abstract

This paper proposes a sliding-mode controller to ensure both the global stability and maximum power generation of a photovoltaic system based on a flyback converter. The controller is based on an adaptive sliding-surface, which is designed to impose a constant frequency to the switching converter, thus simplifying the selection of both the passive and active elements of the device. Moreover, the controller stability is analyzed using the transversality, reachability and equivalent control conditions. The solution also includes an auto-tuning process for the parameters of the perturb and observe algorithm, which are calculated to ensure the global stability of the sliding-mode controller, thus ensuring the PV system stability. Finally, the performance of the complete solution is verified using detailed circuital simulations of a realistic application case.

Suggested Citation

  • Carlos Andres Ramos-Paja & Oscar Danilo Montoya & Luis Fernando Grisales-Noreña, 2022. "Adaptive Sliding-Mode Controller for Flyback-Based PV Systems Featuring Constant Switching Frequency," Mathematics, MDPI, vol. 10(8), pages 1-27, April.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:8:p:1255-:d:791175
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/8/1255/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/8/1255/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mi Dong & Xiaoyu Tian & Li Li & Dongran Song & Lina Wang & Miao Zhao, 2018. "Model-Based Current Sharing Approach for DCM Interleaved Flyback Micro-Inverter," Energies, MDPI, vol. 11(7), pages 1-21, June.
    2. Adriana Trejos & Daniel Gonzalez & Carlos Andres Ramos-Paja, 2012. "Modeling of Step-up Grid-Connected Photovoltaic Systems for Control Purposes," Energies, MDPI, vol. 5(6), pages 1-27, June.
    3. Ahmed Fathy & Hegazy Rezk & Dalia Yousri & Essam H. Houssein & Rania M. Ghoniem, 2021. "Parameter Identification of Optimized Fractional Maximum Power Point Tracking for Thermoelectric Generation Systems Using Manta Ray Foraging Optimization," Mathematics, MDPI, vol. 9(22), pages 1-18, November.
    4. Georgios Christidis & Anastasios Nanakos & Emmanuel Tatakis, 2021. "Optimal Design of a Flyback Microinverter Operating under Discontinuous-Boundary Conduction Mode (DBCM)," Energies, MDPI, vol. 14(22), pages 1-17, November.
    5. Mehmetcan Gursoy & Guangping Zhuo & Andy G. Lozowski & Xin Wang, 2021. "Photovoltaic Energy Conversion Systems with Sliding Mode Control," Energies, MDPI, vol. 14(19), pages 1-20, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paula Andrea Ortiz Valencia & Carlos Andres Ramos-Paja, 2015. "Sliding-Mode Controller for Maximum Power Point Tracking in Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 8(11), pages 1-25, November.
    2. Cristian Pesce & Javier Riedemann & Ruben Pena & Werner Jara & Camilo Maury & Rodrigo Villalobos, 2019. "A Modified Step-Up DC-DC Flyback Converter with Active Snubber for Improved Efficiency," Energies, MDPI, vol. 12(11), pages 1-17, May.
    3. Alma Y. Alanis, 2022. "Bioinspired Intelligent Algorithms for Optimization, Modeling and Control: Theory and Applications," Mathematics, MDPI, vol. 10(13), pages 1-2, July.
    4. Sergio Ignacio Serna-Garcés & Daniel Gonzalez Montoya & Carlos Andres Ramos-Paja, 2016. "Sliding-Mode Control of a Charger/Discharger DC/DC Converter for DC-Bus Regulation in Renewable Power Systems," Energies, MDPI, vol. 9(4), pages 1-27, March.
    5. Suliang Ma & Mingxuan Chen & Jianwen Wu & Wenlei Huo & Lian Huang, 2016. "Augmented Nonlinear Controller for Maximum Power-Point Tracking with Artificial Neural Network in Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 9(12), pages 1-24, November.
    6. Katarzyna Adamiak & Andrzej Bartoszewicz, 2022. "Novel Power-Rate Reaching Law for Quasi-Sliding Mode Control," Energies, MDPI, vol. 15(15), pages 1-14, July.
    7. Jinn-Chang Wu & Hurng-Liahng Jou & Chung-Hsun Chang, 2023. "Power Conversion Interface for a Small-Capacity Photovoltaic Power Generation System," Energies, MDPI, vol. 16(3), pages 1-17, January.
    8. Hegazy Rezk & Abdul Ghani Olabi & Rania M. Ghoniem & Mohammad Ali Abdelkareem, 2023. "Optimized Fractional Maximum Power Point Tracking Using Bald Eagle Search for Thermoelectric Generation System," Energies, MDPI, vol. 16(10), pages 1-15, May.
    9. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
    10. Fagen Yin & Chun Wang & Weizhang Wang, 2022. "Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy," Energies, MDPI, vol. 15(13), pages 1-15, July.
    11. Yaqiong Li & Zhanfeng Deng & Tongxun Wang & Guoliang Zhao & Shengjun Zhou, 2018. "Coupled Harmonic Admittance Identification Based on Least Square Estimation," Energies, MDPI, vol. 11(10), pages 1-15, September.
    12. Diego Alejandro Herrera-Jaramillo & Elkin Edilberto Henao-Bravo & Daniel González Montoya & Carlos Andrés Ramos-Paja & Andrés Julián Saavedra-Montes, 2021. "Control-Oriented Model of Photovoltaic Systems Based on a Dual Active Bridge Converter," Sustainability, MDPI, vol. 13(14), pages 1-22, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:8:p:1255-:d:791175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.