Sliding Mode Control with Multilevel Inverter for PMSM Motor

This paper introduces a permanent magnet synchronous motor (PMSM) with a sliding mode control (SMC)-based wavelet transform (WT). The PMSM motor is vulnerable to variations in the motor parameters and external disturbances, which may deteriorate steady-state performance. The proposed control system was tested using a 3-φ PMSM motor with 5 kW, 1000RPM, and a 3-φ multilevel inverter. The results showed that the motor can reach the estimated speed with good tracking to the value set at a frequency varying from [400, 1000, and 200] RPM. The system uses the Daubechies wavelets (db) for feature extraction due to their localization in both the time and frequency domains. A multilevel inverter with the space vector pulse width modulation (SVPWM) modulation algorithm was used to decrease the total harmonic distortion (THD) of the system to less than 2.5%, with WT residuals almost zero, with 100% decomposition and reconstruction. MATLAB 2020a was used for mathematical modeling and simulation of the proposed algorithm. The simulation results ensured smooth operation in all regions for the PMSM motor's speed and torque.

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Publication Details

Journal
Tikrit Journal of Engineering Sciences
Published
2025-08-28
DOI
https://doi.org/10.25130/tjes.32.3.32
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Sliding Mode Control with Multilevel Inverter for PMSM Motor

Tikrit Journal of Engineering Sciences
Geochemistry and Geologic Mapping
article

Sliding Mode Control with Multilevel Inverter for PMSM Motor

article en

Abstract

This paper introduces a permanent magnet synchronous motor (PMSM) with a sliding mode control (SMC)-based wavelet transform (WT). The PMSM motor is vulnerable to variations in the motor parameters and external disturbances, which may deteriorate steady-state performance. The proposed control system was tested using a 3-φ PMSM motor with 5 kW, 1000RPM, and a 3-φ multilevel inverter. The results showed that the motor can reach the estimated speed with good tracking to the value set at a frequency varying from [400, 1000, and 200] RPM. The system uses the Daubechies wavelets (db) for feature extraction due to their localization in both the time and frequency domains. A multilevel inverter with the space vector pulse width modulation (SVPWM) modulation algorithm was used to decrease the total harmonic distortion (THD) of the system to less than 2.5%, with WT residuals almost zero, with 100% decomposition and reconstruction. MATLAB 2020a was used for mathematical modeling and simulation of the proposed algorithm. The simulation results ensured smooth operation in all regions for the PMSM motor's speed and torque.

Tikrit Journal of Engineering SciencesVol. 32(3)
Chevron (Netherlands) (NL), University of Malaya (MY), Middle Technical University (IQ), Baden-Wuerttemberg Cooperative State University (DE)
Affordable and clean energy
Openalex Percentile: Top 37%
Geochemistry and Geologic Mapping
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