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Optimized voltage vector selection for dual-star induction motor: Robust predictive direct torque control-based

Amel Kasri1, Kamel Ouari1, Youcef Belkhier2

  • 1Université de Bejaia, Faculté de Technologie, Laboratoire de Technologie Industrielle et de l'Information (LTII), 06000 Bejaia, Algeria.

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|October 4, 2025
PubMed
Summary

A new robust predictive direct torque control (PDTC) strategy enhances dual-star induction motor (DSIM) performance. This method significantly reduces torque ripple and improves speed response for industrial applications.

Keywords:
Direct torque controlDual star induction motorPredictive direct torque controlRobust speed control

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Area of Science:

  • Electrical Engineering
  • Power Electronics
  • Control Systems

Background:

  • Dual-star induction machines (DSIMs) are favored in industry for their fault tolerance and robustness.
  • Classical direct torque control (DTC) methods often face challenges with ripple and response time.

Purpose of the Study:

  • To develop a robust predictive DTC (RPDTC) strategy for DSIMs.
  • To improve speed regulation and disturbance rejection using a Model Predictive Control (MPC) framework.

Main Methods:

  • Implemented a cost function optimization for voltage space vector selection.
  • Incorporated integral action within the MPC for enhanced speed control.
  • Validated the strategy in real-time using the OPAL-RT platform.

Main Results:

  • Reduced torque ripple by 83.95% and flux ripple by 74.75%.
  • Decreased current Total Harmonic Distortion (THD) by 77.89%.
  • Improved speed response time by 82.5% and rejection time by 97% compared to conventional DTC.

Conclusions:

  • The proposed RPDTC strategy offers significant improvements in performance and robustness for DSIM drives.
  • The technique effectively minimizes ripples and enhances dynamic response, making it suitable for high-performance applications.