IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i5p2241-d1080764.html
   My bibliography  Save this article

Nonlinear Lyapunov Control of a Photovoltaic Water Pumping System

Author

Listed:
  • Khalil Jouili

    (Laboratory of Advanced Systems, Polytechnic School of Tunisia (EPT), P.O. Box 743, Marsa 2078, Tunisia)

  • Adel Madani

    (Physics Department, Faculty of Applied Science, Umm Al-Qura University, Makkah 21955, Saudi Arabia)

Abstract

In this study, we present an alternative maximum power point tracking technique used in a solar water pumping system to produce the maximum power for modifying the amount of pumped water. This technique was actually created primarily to regulate the duty ratio of the buck converter. In order to control the solar array operating point in order to track the maximum power point, a nonlinear control approach based on the input–output feedback linearizing technique and the Lyapunov stability theory is used. By adjusting the irradiation level, the introduced controller-containing photovoltaic generator direct current (DC) motor pump system was put to the test. Our control method was modeled in Matlab-Simulink, and simulation results were used to show that it significantly outperformed a directly connected solar generator-energized pumps operational system in terms of power extraction performance under various sunlight conditions.

Suggested Citation

  • Khalil Jouili & Adel Madani, 2023. "Nonlinear Lyapunov Control of a Photovoltaic Water Pumping System," Energies, MDPI, vol. 16(5), pages 1-13, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2241-:d:1080764
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/5/2241/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/5/2241/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Khalil Jouili & Mabrouk Jouili & Alsharef Mohammad & Abdulrahman J. Babqi & Walid Belhadj, 2024. "Neural Network Energy Management-Based Nonlinear Control of a DC Micro-Grid with Integrating Renewable Energies," Energies, MDPI, vol. 17(13), pages 1-23, July.
    2. Ángel Adrián Orta-Quintana & Rogelio Ernesto García-Chávez & Ramón Silva-Ortigoza & Magdalena Marciano-Melchor & Miguel Gabriel Villarreal-Cervantes & José Rafael García-Sánchez & Rocío García-Cortés , 2023. "Sensorless Tracking Control Based on Sliding Mode for the “Full-Bridge Buck Inverter–DC Motor” System Fed by PV Panel," Sustainability, MDPI, vol. 15(13), pages 1-27, June.

    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:jeners:v:16:y:2023:i:5:p:2241-:d:1080764. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.