IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i18p6595-d910816.html
   My bibliography  Save this article

DC Motor Drive Powered by Solar Photovoltaic Energy: An FPGA-Based Active Disturbance Rejection Control Approach

Author

Listed:
  • Esteban Guerrero-Ramirez

    (Institute of Electronics and Mechatronics, Technological University of the Mixteca, Huajuapan de León 69000, Oaxaca, Mexico)

  • Alberto Martinez-Barbosa

    (Electronics Engineering Department, National Center for Research and Development of Technology, Cuernavaca 62490, Morelos, Mexico)

  • Marco Antonio Contreras-Ordaz

    (Institute of Electronics and Mechatronics, Technological University of the Mixteca, Huajuapan de León 69000, Oaxaca, Mexico)

  • Gerardo Guerrero-Ramirez

    (Electronics Engineering Department, National Center for Research and Development of Technology, Cuernavaca 62490, Morelos, Mexico)

  • Enrique Guzman-Ramirez

    (Institute of Electronics and Mechatronics, Technological University of the Mixteca, Huajuapan de León 69000, Oaxaca, Mexico)

  • Jorge Luis Barahona-Avalos

    (Institute of Electronics and Mechatronics, Technological University of the Mixteca, Huajuapan de León 69000, Oaxaca, Mexico)

  • Manuel Adam-Medina

    (Electronics Engineering Department, National Center for Research and Development of Technology, Cuernavaca 62490, Morelos, Mexico)

Abstract

This paper presents an experimental platform for regulating the DC motor angular speed powered by photovoltaic cells. The experimental platform comprises an Eco Green Energy EGE-260P-60 solar panel, DC/DC SEPIC converter, DC bus, DC/DC buck converter, DC motor and Nexys 4 board with an Artix-7 100T FPGA. The DC/DC SEPIC converter is used for harvesting the maximum amount of energy from the PV cells using the perturb and observe algorithm to track the maximum power point. The DC/DC buck converter is used as the motor drive using the active disturbance rejection control to regulate the angular speed of the DC motor. In addition, the FPGA architecture design is presented using a hierarchical top-down methodology with the VHDL hardware description language and Xilinx System Generator tool. The software takes advantage of the FPGA’s concurrency to simultaneously evaluate the different processes, which is the main reason for choosing this digital device. Several tests were performed on the platform such as irradiance changes, DC bus variations, DC motor connection and load torque variations applied in the motor shaft. The results indicate that the maximum power is obtained from the photovoltaic cells, establishing the minimum operating conditions. In addition, the control approach estimates and cancels the effects of disturbances caused by variations in the environmental conditions, photovoltaic system, DC bus, and load changes in order to regulate DC motor speed.

Suggested Citation

  • Esteban Guerrero-Ramirez & Alberto Martinez-Barbosa & Marco Antonio Contreras-Ordaz & Gerardo Guerrero-Ramirez & Enrique Guzman-Ramirez & Jorge Luis Barahona-Avalos & Manuel Adam-Medina, 2022. "DC Motor Drive Powered by Solar Photovoltaic Energy: An FPGA-Based Active Disturbance Rejection Control Approach," Energies, MDPI, vol. 15(18), pages 1-36, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6595-:d:910816
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/18/6595/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/18/6595/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maissa Farhat & Oscar Barambones & Lassaâd Sbita, 2020. "A Real-Time Implementation of Novel and Stable Variable Step Size MPPT," Energies, MDPI, vol. 13(18), pages 1-18, September.
    2. De Almeida, A. & Fong, J. & Brunner, C.U. & Werle, R. & Van Werkhoven, M., 2019. "New technology trends and policy needs in energy efficient motor systems - A major opportunity for energy and carbon savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    3. Danandeh, M.A. & Mousavi G., S.M., 2018. "Comparative and comprehensive review of maximum power point tracking methods for PV cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2743-2767.
    4. Wang, Jingfan & O'Donnell, John & Brandt, Adam R., 2017. "Potential solar energy use in the global petroleum sector," Energy, Elsevier, vol. 118(C), pages 884-892.
    5. Linares-Flores, J. & Guerrero-Castellanos, J.F. & Lescas-Hernández, R. & Hernández-Méndez, A. & Vázquez-Perales, R., 2019. "Angular speed control of an induction motor via a solar powered boost converter-voltage source inverter combination," Energy, Elsevier, vol. 166(C), pages 326-334.
    6. Mohapatra, Alivarani & Nayak, Byamakesh & Das, Priti & Mohanty, Kanungo Barada, 2017. "A review on MPPT techniques of PV system under partial shading condition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 854-867.
    7. Amir, Asim & Amir, Aamir & Che, Hang Seng & Elkhateb, Ahmad & Rahim, Nasrudin Abd, 2019. "Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems," Renewable Energy, Elsevier, vol. 136(C), pages 1147-1163.
    8. Carlos Robles Algarín & John Taborda Giraldo & Omar Rodríguez Álvarez, 2017. "Fuzzy Logic Based MPPT Controller for a PV System," Energies, MDPI, vol. 10(12), pages 1-18, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Ramón Silva-Ortigoza & Magdalena Marciano-Melchor & Rogelio Ernesto García-Chávez & Alfredo Roldán-Caballero & Victor Manuel Hernández-Guzmán & Eduardo Hernández-Márquez & José Rafael García-Sánchez &, 2022. "Robust Flatness-Based Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System," Mathematics, MDPI, vol. 10(21), pages 1-20, November.

    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. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    2. Yu-Pei Huang & Cheng-En Ye & Xiang Chen, 2018. "A Modified Firefly Algorithm with Rapid Response Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions," Energies, MDPI, vol. 11(9), pages 1-33, August.
    3. Kostas Bavarinos & Anastasios Dounis & Panagiotis Kofinas, 2021. "Maximum Power Point Tracking Based on Reinforcement Learning Using Evolutionary Optimization Algorithms," Energies, MDPI, vol. 14(2), pages 1-23, January.
    4. Dan Craciunescu & Laurentiu Fara, 2023. "Investigation of the Partial Shading Effect of Photovoltaic Panels and Optimization of Their Performance Based on High-Efficiency FLC Algorithm," Energies, MDPI, vol. 16(3), pages 1-28, January.
    5. Khaled Osmani & Ahmad Haddad & Mohammad Alkhedher & Thierry Lemenand & Bruno Castanier & Mohamad Ramadan, 2023. "A Novel MPPT-Based Lithium-Ion Battery Solar Charger for Operation under Fluctuating Irradiance Conditions," Sustainability, MDPI, vol. 15(12), pages 1-31, June.
    6. Amit Kumar Sharma & Rupendra Kumar Pachauri & Sushabhan Choudhury & Ahmad Faiz Minai & Majed A. Alotaibi & Hasmat Malik & Fausto Pedro García Márquez, 2023. "Role of Metaheuristic Approaches for Implementation of Integrated MPPT-PV Systems: A Comprehensive Study," Mathematics, MDPI, vol. 11(2), pages 1-48, January.
    7. Muhammad Hafeez Mohamed Hariri & Mohd Khairunaz Mat Desa & Syafrudin Masri & Muhammad Ammirrul Atiqi Mohd Zainuri, 2020. "Grid-Connected PV Generation System—Components and Challenges: A Review," Energies, MDPI, vol. 13(17), pages 1-28, August.
    8. Goudarzian, Alireza & Khosravi, Adel & Raeisi, Heidar Ali, 2020. "Analysis of a step-up dc/dc converter with capability of right-half plane zero cancellation," Renewable Energy, Elsevier, vol. 157(C), pages 1156-1170.
    9. Md Jahidur Rahman & Tahar Tafticht & Mamadou Lamine Doumbia & Iqbal Messaïf, 2023. "Optimal Inverter Control Strategies for a PV Power Generation with Battery Storage System in Microgrid," Energies, MDPI, vol. 16(10), pages 1-36, May.
    10. Camilo, Jones C. & Guedes, Tatiana & Fernandes, Darlan A. & Melo, J.D. & Costa, F.F. & Sguarezi Filho, Alfeu J., 2019. "A maximum power point tracking for photovoltaic systems based on Monod equation," Renewable Energy, Elsevier, vol. 130(C), pages 428-438.
    11. Hassan M. H. Farh & Mohd F. Othman & Ali M. Eltamaly & M. S. Al-Saud, 2018. "Maximum Power Extraction from a Partially Shaded PV System Using an Interleaved Boost Converter," Energies, MDPI, vol. 11(10), pages 1-18, September.
    12. Long-Yi Chang & Yi-Nung Chung & Kuei-Hsiang Chao & Jia-Jing Kao, 2018. "Smart Global Maximum Power Point Tracking Controller of Photovoltaic Module Arrays," Energies, MDPI, vol. 11(3), pages 1-16, March.
    13. Wang, Jian-jun & Deng, Yu-cong & Sun, Wen-biao & Zheng, Xiao-bin & Cui, Zheng, 2023. "Maximum power point tracking method based on impedance matching for a micro hydropower generator," Applied Energy, Elsevier, vol. 340(C).
    14. Ahmed Hussain Elmetwaly & Ramy Adel Younis & Abdelazeem Abdallah Abdelsalam & Ahmed Ibrahim Omar & Mohamed Metwally Mahmoud & Faisal Alsaif & Adel El-Shahat & Mohamed Attya Saad, 2023. "Modeling, Simulation, and Experimental Validation of a Novel MPPT for Hybrid Renewable Sources Integrated with UPQC: An Application of Jellyfish Search Optimizer," Sustainability, MDPI, vol. 15(6), pages 1-30, March.
    15. Huang, Chang & Hou, Hongjuan & Yu, Gang & Zhang, Le & Hu, Eric, 2020. "Energy solutions for producing shale oil: Characteristics of energy demand and economic analysis of energy supply options," Energy, Elsevier, vol. 192(C).
    16. Tang, Ruoli & Li, Xin & Lai, Jingang, 2018. "A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization," Applied Energy, Elsevier, vol. 228(C), pages 254-264.
    17. Diego R. Espinoza Trejo & Ernesto Bárcenas & José E. Hernández Díez & Guillermo Bossio & Gerardo Espinosa Pérez, 2018. "Open- and Short-Circuit Fault Identification for a Boost dc/dc Converter in PV MPPT Systems," Energies, MDPI, vol. 11(3), pages 1-15, March.
    18. Polleux, Louis & Guerassimoff, Gilles & Marmorat, Jean-Paul & Sandoval-Moreno, John & Schuhler, Thierry, 2022. "An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    19. Muhannad Alaraj & Anirudh Dube & Ibrahim Alsaidan & Mohammad Rizwan & Majid Jamil, 2021. "Design and Development of a Proficient Converter for Solar Photovoltaic Based Sustainable Power Generating System," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
    20. Anibal T. de Almeida & Fernando J. T. E. Ferreira & João Fong, 2023. "Perspectives on Electric Motor Market Transformation for a Net Zero Carbon Economy," Energies, MDPI, vol. 16(3), pages 1-16, January.

    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:15:y:2022:i:18:p:6595-:d:910816. 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.