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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
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    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.
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    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).

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