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Normalized-Model Reference System for Parameter Estimation of Induction Motors

Author

Listed:
  • Adolfo Véliz-Tejo

    (Department of Electrical Engineering, Universidad Técnica Federico Santa María, Santiago 8940572, Chile)

  • Juan Carlos Travieso-Torres

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

  • Andrés A. Peters

    (Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Santiago 7941169, Chile)

  • Andrés Mora

    (Department of Electrical Engineering, Universidad Técnica Federico Santa María, Santiago 8940572, Chile)

  • Felipe Leiva-Silva

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

Abstract

This manuscript proposes a short tuning march algorithm to estimate induction motors (IM) electrical and mechanical parameters. It has two main novel proposals. First, it starts by presenting a normalized-model reference adaptive system (N-MRAS) that extends a recently proposed normalized model reference adaptive controller for parameter estimation of higher-order nonlinear systems, adding filtering. Second, it proposes persistent exciting (PE) rules for the input amplitude. This N-MRAS normalizes the information vector and identification adaptive law gains for a more straightforward tuning method, avoiding trial and error. Later, two N-MRAS designs consider estimating IM electrical and mechanical parameters. Finally, the proposed algorithm considers starting with a V/f speed control strategy, applying a persistently exciting voltage and frequency, and applying the two designed N-MRAS. Test bench experiments validate the efficacy of the proposed algorithm for a 10 HP IM.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4542-:d:844457
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    References listed on IDEAS

    as
    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 & 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.
    3. 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.
    4. Tadeusz Białoń & Roman Niestrój & Jarosław Michalak & Marian Pasko, 2021. "Induction Motor PI Observer with Reduced-Order Integrating Unit," Energies, MDPI, vol. 14(16), pages 1-12, August.
    5. Angela Navarro-Navarro & Israel Zamudio-Ramirez & Vicente Biot-Monterde & Roque A. Osornio-Rios & Jose A. Antonino-Daviu, 2022. "Current and Stray Flux Combined Analysis for the Automatic Detection of Rotor Faults in Soft-Started Induction Motors," Energies, MDPI, vol. 15(7), pages 1-19, March.
    Full references (including those not matched with items on IDEAS)

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