PERFORMANCE EVALUATION OF MODEL PREDICTIVE CONTROL  FOR SIX-PHASE INDUCTION MOTOR UNDER VARIOUS OPERATING CONDITIONS

Nguyễn Việt Trung; Bùi Thanh Hiếu; Đỗ Chí Phi; Phạm Thanh Tùng

doi:10.34238/tnu-jst.13392

PERFORMANCE EVALUATION OF MODEL PREDICTIVE CONTROL FOR SIX-PHASE INDUCTION MOTOR UNDER VARIOUS OPERATING CONDITIONS

About this article

Received: 08/08/25 Revised: 26/11/25 Published: 26/11/25

Authors

1. Nguyen Viet Trung, Vinh Long University of Technology Education
2. Bui Thanh Hieu, Vinh Long University of Technology Education
3. Do Chi Phi, Cao Thang Technical College
4. Pham Thanh Tung , Vinh Long University of Technology Education

Abstract

This paper presents the FCS-MPC method applied to a six-phase induction motor with isolated neutral point and two winding sets shifted by 30 electrical degrees. The control model is developed in the αβxy coordinate system, using current and flux information to predict future states and select the optimal voltage vector at each sampling step. The system is simulated in the MATLAB/Simulink environment under three operating conditions: no-load, load, and torque disturbance. The simulation results show that the FCS-MPC controller achieves a tracking speed of 60 rad/s with a settling time under 0.05 s, steady-state error not exceeding ± 1 rad/s in the no-load condition, and maintains the error within ± 5 rad/s under disturbance. The current on the xy-axis is always kept about ± 2 A, reflecting the electromagnetic balance between the two winding sets. The proposed method is suitable for high-performance applications requiring high efficiency, stability, and good disturbance rejection in industrial drive systems and renewable energy systems.

Keywords

Six-Phase Induction Motor; Finite Control Set Model Predictive Control; αβxy Transformation; Multiphase Drives; MATLAB/Simulink

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DOI: https://doi.org/10.34238/tnu-jst.13392

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