IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i4p868-d495226.html
   My bibliography  Save this article

Real-Time Sensorless Robust Velocity Controller Applied to a DC-Motor for Emulating a Wind Turbine

Author

Listed:
  • Onofre A. Morfin

    (Departamento de Eléctrica y Computación, Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez 32310, Mexico)

  • Riemann Ruiz-Cruz

    (Laboratorio de Investigación en Diseño Optimo, Dispositivos y Materiales Avanzados (OPTIMA), Departamento de Matemáticas y Física, ITESO, Tlaquepaque 45604, Mexico)

  • Jesus I. Hernández

    (Departamento de Eléctrica y Computación, Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez 32310, Mexico)

  • Carlos E. Castañeda

    (Departamento de Ciencias Exactas y Tecnología, Centro Universitario de los Lagos de la Universidad de Guadalajara, Lagos de Moreno 47460, Mexico)

  • Reymundo Ramírez-Betancour

    (División Académica de Ingeniería y Arquitectura, Universidad Juárez Autónoma de Tabasco, Cunduacán 86040, Mexico)

  • Fredy A. Valenzuela-Murillo

    (División Académica de Ingeniería y Arquitectura, Universidad Juárez Autónoma de Tabasco, Cunduacán 86040, Mexico)

Abstract

The wind power systems of variable velocity using a doubly-fed induction generator dominate large-scale electrical generation within renewable energy sources. The usual control goal of the wind systems consists of maximizing the wind energy capture and streamlining the energy conversion process. In addition, these systems are an intermittent energy source due to the variation of the wind velocity. Consequently, the control system designed to establish a reliable operation of the wind system represents the main challenge. Therefore, emulating the operation of the wind turbine by means of an electric motor is a common strategy so that the controller design is focused on the induction generator and its connection to the utility grid. Thus, we propose to emulate the dynamical operation of a wind turbine through a separately excited DC motor driving by a sensor-less velocity controller. This controller is synthesized based on the state-feedback linearization technique combined with the super-twisting algorithm to set a robust closed-loop system in the presence of external disturbances. A robust velocity observer is designed to estimate the rotor velocity based on the armature current measuring. Furthermore, a robust differentiator is designed for estimating the time derivative of the velocity error variable, achieving a reduction in the computational calculus. Experimental tests were carried using a separately excited DC motor coupled with a dynamometer to validate the proposed wind turbine emulator.

Suggested Citation

  • Onofre A. Morfin & Riemann Ruiz-Cruz & Jesus I. Hernández & Carlos E. Castañeda & Reymundo Ramírez-Betancour & Fredy A. Valenzuela-Murillo, 2021. "Real-Time Sensorless Robust Velocity Controller Applied to a DC-Motor for Emulating a Wind Turbine," Energies, MDPI, vol. 14(4), pages 1-15, February.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:868-:d:495226
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/4/868/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/4/868/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Onofre A. Morfin & Carlos E. Castañeda & Antonio Valderrabano-Gonzalez & Miguel Hernandez-Gonzalez & Fredy A. Valenzuela, 2017. "A Real-Time SOSM Super-Twisting Technique for a Compound DC Motor Velocity Controller," Energies, MDPI, vol. 10(9), pages 1-18, August.
    2. Aman Abdulla Tanvir & Adel Merabet & Rachid Beguenane, 2015. "Real-Time Control of Active and Reactive Power for Doubly Fed Induction Generator (DFIG)-Based Wind Energy Conversion System," Energies, MDPI, vol. 8(9), pages 1-20, September.
    3. Wollz, Danilo Henrique & da Silva, Sergio Augusto Oliveira & Sampaio, Leonardo Poltronieri, 2020. "Real-time monitoring of an electronic wind turbine emulator based on the dynamic PMSG model using a graphical interface," Renewable Energy, Elsevier, vol. 155(C), pages 296-308.
    4. Yan, Jianhu & Feng, Yi & Dong, Jianning, 2016. "Study on dynamic characteristic of wind turbine emulator based on PMSM," Renewable Energy, Elsevier, vol. 97(C), pages 731-736.
    5. Camilo I. Martínez-Márquez & Jackson D. Twizere-Bakunda & David Lundback-Mompó & Salvador Orts-Grau & Francisco J. Gimeno-Sales & Salvador Seguí-Chilet, 2019. "Small Wind Turbine Emulator Based on Lambda-Cp Curves Obtained under Real Operating Conditions," Energies, MDPI, vol. 12(13), pages 1-17, June.
    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. Daniel A. Magallón & Carlos E. Castañeda & Francisco Jurado & Onofre A. Morfin, 2021. "Design of a Neural Super-Twisting Controller to Emulate a Flywheel Energy Storage System," Energies, MDPI, vol. 14(19), pages 1-23, October.
    2. Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).

    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. Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).
    2. Luna, M. & Di Piazza, M.C. & La Tona, G. & Accetta, A. & Pucci, M., 2021. "Exploiting dynamic modeling, parameter identification, and power electronics to implement a non-dissipative Li-ion battery hardware emulator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 48-65.
    3. Arthur Medeiros & Thales Ramos & José Tavares de Oliveira & Manoel F. Medeiros Júnior, 2020. "Direct Voltage Control of a Doubly Fed Induction Generator by Means of Optimal Strategy," Energies, MDPI, vol. 13(3), pages 1-28, February.
    4. P. Jayanthi & D. Devaraj, 2022. "LVRT capability enhancement in the grid-connected DFIG-driven WECS using adaptive hysteresis current controller," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7593-7621, June.
    5. Willis, D.J. & Niezrecki, C. & Kuchma, D. & Hines, E. & Arwade, S.R. & Barthelmie, R.J. & DiPaola, M. & Drane, P.J. & Hansen, C.J. & Inalpolat, M. & Mack, J.H. & Myers, A.T. & Rotea, M., 2018. "Wind energy research: State-of-the-art and future research directions," Renewable Energy, Elsevier, vol. 125(C), pages 133-154.
    6. Peng Tian & Zetao Li & Zhenghang Hao, 2019. "A Doubly-Fed Induction Generator Adaptive Control Strategy and Coordination Technology Compatible with Feeder Automation," Energies, MDPI, vol. 12(23), pages 1-21, November.
    7. Abrar Ahmed Chhipą & Prąsun Chakrabarti & Vadim Bolshev & Tulika Chakrabarti & Gennady Samarin & Alexey N. Vasilyev & Sandeep Ghosh & Alexander Kudryavtsev, 2022. "Modeling and Control Strategy of Wind Energy Conversion System with Grid-Connected Doubly-Fed Induction Generator," Energies, MDPI, vol. 15(18), pages 1-26, September.
    8. Camilo I. Martínez-Márquez & Jackson D. Twizere-Bakunda & David Lundback-Mompó & Salvador Orts-Grau & Francisco J. Gimeno-Sales & Salvador Seguí-Chilet, 2019. "Small Wind Turbine Emulator Based on Lambda-Cp Curves Obtained under Real Operating Conditions," Energies, MDPI, vol. 12(13), pages 1-17, June.
    9. Karabacak, Murat, 2019. "A new perturb and observe based higher order sliding mode MPPT control of wind turbines eliminating the rotor inertial effect," Renewable Energy, Elsevier, vol. 133(C), pages 807-827.
    10. Mohammad AlMuhaini & Abass Yahaya & Ahmed AlAhmed, 2023. "Distributed Generation and Load Modeling in Microgrids," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    11. Zhigang Gao & Qi Lu, 2017. "Using an Integrated Script Control Unit (ISCU) to Assist the Power Electronics Education," Energies, MDPI, vol. 10(11), pages 1-19, November.
    12. K. Premkumar & M. Vishnupriya & Thanikanti Sudhakar Babu & B. V. Manikandan & T. Thamizhselvan & A. Nazar Ali & Md. Rabiul Islam & Abbas Z. Kouzani & M. A. Parvez Mahmud, 2020. "Black Widow Optimization-Based Optimal PI-Controlled Wind Turbine Emulator," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    13. Jiefeng Hu & Ka Wai Eric Cheng, 2017. "Predictive Control of Power Electronics Converters in Renewable Energy Systems," Energies, MDPI, vol. 10(4), pages 1-14, April.
    14. Rubén Bufanio & Luis Arribas & Javier de la Cruz & Timo Karlsson & Mariano Amadío & Andrés Enrique Zappa & Damián Marasco, 2022. "An Update on the Electronic Connection Issues of Low Power SWTs in AC-Coupled Systems: A Review and Case Study," Energies, MDPI, vol. 15(6), pages 1-28, March.
    15. Wollz, Danilo Henrique & da Silva, Sergio Augusto Oliveira & Sampaio, Leonardo Poltronieri, 2020. "Real-time monitoring of an electronic wind turbine emulator based on the dynamic PMSG model using a graphical interface," Renewable Energy, Elsevier, vol. 155(C), pages 296-308.
    16. Muthana Alrifai & Mohamed Zribi & Mohamed Rayan, 2016. "Feedback Linearization Controller for a Wind Energy Power System," Energies, MDPI, vol. 9(10), pages 1-23, September.
    17. Nicolás Toro-García & Yeison A. Garcés-Gómez & Fredy E. Hoyos, 2019. "Discrete and Continuous Model of Three-Phase Linear Induction Motors “LIMs” Considering Attraction Force," Energies, MDPI, vol. 12(4), pages 1-11, February.
    18. Nikolaos Chrysochoidis-Antsos & Gerard J.W. van Bussel & Jan Bozelie & Sander M. Mertens & Ad J.M. van Wijk, 2021. "Performance Characteristics of A Micro Wind Turbine Integrated on A Noise Barrier," Energies, MDPI, vol. 14(5), pages 1-29, February.
    19. Jiawei Huang & Honghua Wang & Chong Wang, 2017. "Passivity-Based Control of a Doubly Fed Induction Generator System under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 10(8), pages 1-13, August.
    20. Rajko Svečko & Dušan Gleich & Amor Chowdhury & Andrej Sarjaš, 2019. "Sub-Optimal Second-Order Sliding Mode Controller Parameters’ Selection for a Positioning System with a Synchronous Reluctance Motor," Energies, MDPI, vol. 12(10), pages 1-22, May.

    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:14:y:2021:i:4:p:868-:d:495226. 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.