Power, Control, and Data Processing Systems

A VIKOR Optimization Approach Towards Predictive Torque Controller Design for Open-End Winding Induction Motors

Document Type : Original Research

Authors

Vahid Moradi
Khosro Khandani
Mazdak Ebadi

Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak, Iran

https://doi.org/10.30511/pcdp.2026.2094243.1096
Abstract
Predictive torque control (PTC) is known as a straightforward approach for induction motor drives for which the control parameters can be directly included in the criterion measure. Nevertheless, choosing the weight factors of the criterion measure is an important challenge. In conventional PTC methods, the criterion measure includes the torque and stator flux control objectives which have different weight factors for each control objective. Tuning weight factors empirically results in a complicated control process. To successfully cope with this issue, this paper suggests the VIKOR method for optimization of the criterion measure. In this research, a new PTC scheme has been proposed using the VIKOR optimization algorithm for the selection of inverter switching vectors connected to an open-end winding induction motor (OEWIM). The purpose of controlling the switching vectors is to reduce the flux and torque ripples. The results are then compared with the conventional PTC and ranking methods. It is demonstrated that, with optimization by the VIKOR method, the flux and torque ripples have been remarkably reduced in comparison with the existing approaches. The proposed VIKOR-based PTC reduces the flux ripple by 78.5% (from 1.4 Wb to 0.3 Wb) and reduces the torque ripple by 58.3% (from 0.012 N·m to 0.005 N·m) compared to the conventional PTC method. Finally, a step-by-step implementation algorithm is presented and simulated using MATLAB which demonstrates favorable results.

Keywords

OEWIM
predictive torque control
VIKOR optimization
Subjects
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Power, Control, and Data Processing Systems
Volume 4, Issue 1
Winter 2027
Pages 44-51

  • Receive Date 12 July 2026
  • Revise Date 22 September 2026
  • Accept Date 26 September 2026
  • First Publish Date 26 September 2026
  • Publish Date 01 March 2027

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