Optimizing permanent magnet synchronous motor control: a comparative study of MPCC-based techniques

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.331895

Keywords:

PMSM, MPCC, ANFIS, ANN, THD, industrial drives, electric vehicles

Abstract

This study focuses on optimizing the control of permanent magnet synchronous motors (PMSMs) by introducing a new model predictive current control (MPCC) strategy, integrated with the adaptive neuro-fuzzy inference system (ANFIS), referred to as ANFIS-MPCC. The main problem addressed in this research is the challenge of improving the dynamic response of PMSMs under varying operating conditions, particularly under rapid load and speed variations. Traditional control methods like proportional-integral MPCC (PI-MPCC) and artificial neural network MPCC (ANN-MPCC) are compared with the proposed ANFIS-MPCC method to evaluate its effectiveness in solving issues such as overshoot reduction, settling time minimization, and harmonic distortion (THD) suppression. The results show that ANFIS-MPCC significantly outperforms the traditional methods, with overshoot reduced to 0.015%, a settling time of 0.00147 seconds, and THD minimized to 2.0% at rated speed and 2.02% at low speed. These improvements demonstrate that ANFIS-MPCC is highly effective in controlling PMSMs, particularly in systems exposed to rapid load changes and dynamic speed variations. The method's key advantage lies in its integration of fuzzy logic and neural networks, allowing superior handling of nonlinearities and dynamic load conditions. The results suggest that ANFIS-MPCC is especially beneficial for industrial motor control systems and electric vehicles, where fast response, stability, and low harmonic distortion are crucial

Author Biographies

Doan Van Hoa, Industrial University of Ho Chi Minh City

Master Student

Faculty of Electrical Engineering Technology

Huynh Hoang Bao Nghia, Industrial University of Ho Chi Minh City

College Student

Faculty of Electrical Engineering Technology

Le Van Dai, Industrial University of Ho Chi Minh City

Doctor of Technical Sciences

Faculty of Electrical Engineering Technology

References

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Optimizing permanent magnet synchronous motor control: a comparative study of MPCC-based techniques

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Published

2025-06-30

How to Cite

Hoa, D. V., Nghia, H. H. B., & Dai, L. V. (2025). Optimizing permanent magnet synchronous motor control: a comparative study of MPCC-based techniques. Eastern-European Journal of Enterprise Technologies, 3(2 (135), 73–89. https://doi.org/10.15587/1729-4061.2025.331895

Issue

Vol. 3 No. 2 (135) (2025): Information technology. Industry control systems

Section

Industry control systems

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Copyright (c) 2025 Doan Van Hoa, Huynh Hoang Bao Nghia, Le Van Dai

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