IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i5p1276-d330542.html
   My bibliography  Save this article

New Adaptive High Starting Torque Scalar Control Scheme for Induction Motors Based on Passivity

Author

Listed:
  • Juan Carlos Travieso-Torres

    (Department of Industrial Technologies, University of Santiago de Chile, Santiago 9170125, Chile)

  • Miriam Vilaragut-Llanes

    (Centro de Investigaciones y Pruebas Electroenergéticas (CIPEL), Universidad Tecnológica de la Habana “José Antonio Echeverría” (CUJAE), Havana 11500, Cuba)

  • Ángel Costa-Montiel

    (Centro de Investigaciones y Pruebas Electroenergéticas (CIPEL), Universidad Tecnológica de la Habana “José Antonio Echeverría” (CUJAE), Havana 11500, Cuba)

  • Manuel A. Duarte-Mermoud

    (Departamento de Electricidad, University of Chile, Santiago 8370451, Chile)

  • Norelys Aguila-Camacho

    (Departamento de Electricidad, Universidad Tecnológica Metropolitana, Santiago 7800002, Chile)

  • Camilo Contreras-Jara

    (Department of Industrial Technologies, University of Santiago de Chile, Santiago 9170125, Chile)

  • Alejandro Álvarez-Gracia

    (Department of Industrial Technologies, University of Santiago de Chile, Santiago 9170125, Chile)

Abstract

A novel adaptive high starting torque (HST) scalar control scheme (SCS) for induction motors (IM) is proposed in this paper. It uses a new adaptive-passivity-based controller (APBC) proposed herein for a class of nonlinear systems, with linear explicit parametric dependence and linear stable internal dynamics, which encompasses the IM dynamical model. The main advantage of the HST-SCS includes the ability to move loads with starting-torque over the nominal torque with a simple and cost-effective implementation without needing a rotor speed sensor, variable observers, or parameter estimators. The proposed APBC is based on a direct control scheme using a normalized fixed gain (FG) to fine-tune the adaptive controller parameters. The basic SCS for induction motors (IM) and the HST-SCS were applied to an IM of 200 HP and tested using a real-time simulator controller OPAL-RT showing the achievement of the proposal goal.

Suggested Citation

  • Juan Carlos Travieso-Torres & Miriam Vilaragut-Llanes & Ángel Costa-Montiel & Manuel A. Duarte-Mermoud & Norelys Aguila-Camacho & Camilo Contreras-Jara & Alejandro Álvarez-Gracia, 2020. "New Adaptive High Starting Torque Scalar Control Scheme for Induction Motors Based on Passivity," Energies, MDPI, vol. 13(5), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1276-:d:330542
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/5/1276/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/5/1276/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Juan Carlos Travieso-Torres & Manuel A. Duarte-Mermoud & Matías Díaz & Camilo Contreras-Jara & Francisco Hernández, 2022. "Closed-Loop Adaptive High-Starting Torque Scalar Control Scheme for Induction Motor Variable Speed Drives," Energies, MDPI, vol. 15(10), pages 1-15, May.
    2. Juan Carlos Travieso-Torres & Manuel A. Duarte-Mermoud, 2022. "Normalized Model Reference Adaptive Control Applied to High Starting Torque Scalar Control Scheme for Induction Motors," Energies, MDPI, vol. 15(10), pages 1-16, May.
    3. Adolfo Véliz-Tejo & Juan Carlos Travieso-Torres & Andrés A. Peters & Andrés Mora & Felipe Leiva-Silva, 2022. "Normalized-Model Reference System for Parameter Estimation of Induction Motors," Energies, MDPI, vol. 15(13), pages 1-29, 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:13:y:2020:i:5:p:1276-:d:330542. 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.