Weighting Factor Elimination Techniques for Model Predictive Control of AC Machines: A Comparison
Direct model predictive control of electrical drives has gained significant acceptance within the research community over the past decade. To address the challenge of weighting factor (WF) tuning, one of the primary issues, remarkable efforts have been made. This paper compares several effective WF elimination methods, commonly referred to as decision-making (DM) methods, in the context of model predictive torque control for an induction motor. Each technique is assessed from multiple perspectives, including control performance, design complexity, and computational demand. Finally, the paper provides a comprehensive analysis of the effectiveness of DM methods.
Authors
- Recep Yıldız (ORCID: https://orcid.org/0000-0002-8167-321X)
- Patrick Wheeler (ORCID: https://orcid.org/0000-0003-0307-581X)
- Emrah Zerdali (ORCID: https://orcid.org/0000-0003-1755-0327)
- J. Rodríguez (ORCID: https://orcid.org/0000-0001-7153-7743)
- Marco Rivera (ORCID: https://orcid.org/0000-0002-4353-2088)
Institutions
- Niğde Ömer Halisdemir Üniversitesi (TR)
- Ege University (TR)
Publication Details
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1109/cpe-powereng63314.2025.11027268
- Citations
- 1
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- British Council
- Research and Development