WSEAS Transactions on Electronics
Print ISSN: 1109-9445, E-ISSN: 2415-1513
Volume 16, 2025
Sliding Mode Predictive Control using Model Reference Adaptive System of Permanent Magnet Synchronous Motor
Authors: , , , ,
Abstract: This paper explores the implementation of a Sliding Mode Predictive Control (SMPC) strategy
using a Model Reference Adaptive System (MRAS) for a Permanent Magnet Synchronous Motor (PMSM).
The study aims to achieve accurate speed tracking and reduced torque ripple in PMSMs using SMPC and
MRAS. The model predictive control depends on estimating the prediction currents to obtain the voltage
vectors to control the inverter pulses. Further, by using the cost function the selection of the best voltage
conductor is obtained. The disturbance in the PI controller affects the speed efficiency, so a sliding mode is
added to reduce the speed disturbance and get a better convergence. Therefore, the speed of the machine
extracted from the sensor remains unacceptable, and to enhance the results, MRAS is used to estimate the new
speed. Simulation results indicate that the proposed control approach effectively improves the performance of
the PMSM in terms of both speed regulation and torque ripple reduction. The findings of this study offer
significant insights into the potential of SMPC with MRAS as a control strategy for PMSMs in various
industrial applications.
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Keywords: Permanent Magnet Synchronous Motor, Model Predictive Control, MRAS, Sliding Mode
Control, PI Controller, Speed, Torque
Pages: 22-32
DOI: 10.37394/232017.2025.16.3