Active Disturbance Rejection and Model Predictive Control for Mitigating Non-Torque-Producing Currents and Harmonic Distortion in Six-Phase Permanent Magnet Synchronous Motor
DOI:
https://doi.org/10.12928/biste.v8i4.16847Keywords:
PMSM, Model Predictive Control, Total Harmonic Distortion, MATLAB/Simulink, Vector Space DecompositionAbstract
The six-phase permanent magnet synchronous motor drives have high power density, fault tolerance, and reliability; however, conventional model predictive control is sensitive to load disturbances, unmodeled dynamics, and parameter uncertainties, which can lead to high non-torque-producing currents and harmonic distortion. To overcome these drawbacks, this work introduces an active disturbance rejection control approach with model predictive control (MPC). The research contribution is the combination of active disturbance estimation and compensation in the outer speed loop with the predictive current regulation in the inner current loop to improve disturbance rejection, reduce non-torque-producing currents, and improve the dynamic performance of the six-phase motor drives. The proposed scheme is modeled and validated through the MATLAB/Simulink simulation and compared to the standard MPC at the speed reference of 1000 rpm, load-torque steps of 10N·m applied in 0.05 s and 15N·m applied in 0.1 s, and motor inertia of 0.0048 kg·m². The simulation results show the current THD is reduced to 2.3% with the proposed strategy, and the average switching frequency is diminished to 10.8 kHz. The peak transient torque error is reduced from 0.65 N · m to 0.10 N · m, and steady-state torque ripple is lessened from 0.15 N·m to 0.02 N·m. Furthermore, the maximum speed deviation is lowered from about 150 rpm to 35 rpm, and the recovery time after a load disturbance is lowered from 40ms to 10ms. The obtained outcomes demonstrate the dominance of harmonic suppression, disturbance rejection, and dynamic efficacy of the proposed approach, indicating its prospective use in high-performance multiphase electric-drive systems.
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Copyright (c) 2026 Rjwan Ahmed Al-Hamdany, Jameel Kadhim Abed, Mustafa Naozad Taifor, Sarah A. Mohammed, Ali Falih Challoob, Naseer T. Alwan, Salam J. Yaqoob
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