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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.
ISA Transactions
|October 4, 2025
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.
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.
Keywords:
Direct torque controlDual star induction motorPredictive direct torque controlRobust speed controlMore Related Videos
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