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Voltage Control Nonlinearity in QZSDMC Fed PMSM Drive System with Grid Filtering

Author

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  • Przemysław Siwek

    (Institute of Robotics and Machine Intelligence, Faculty of Control, Robotics & Electrical Engineering, Poznań University of Technology, Piotrowo 3A Street, 60-965 Poznań, Poland)

  • Konrad Urbanski

    (Institute of Robotics and Machine Intelligence, Faculty of Control, Robotics & Electrical Engineering, Poznań University of Technology, Piotrowo 3A Street, 60-965 Poznań, Poland)

Abstract

This publication investigates the control of output voltage-boosting in a Quasi-Z-Source direct matrix converter operating as part of a PMSM drive system with an RLC grid filter. The structure and control algorithms enabling regulation of the converter’s output voltage in both step-down and step-up modes are presented. These methods are based on the d q transformation, which provides a measurement signal for a linear PI-type controller. The article includes simulation results obtained using Matlab Simulink 2019a, which facilitated the preliminary verification of the applied structures and methods. The obtained model revealed the presence of nonlinearities in the Quasi-Z-Source voltage control system, which were subsequently confirmed through experimental verification. The system is stable but exhibits oscillatory behavior, with its parameters dependent on the amplitude of the step of the voltage gain coefficient. The voltage control system regulates the output voltage at least 10 times faster than a single period of the grid voltage sine wave. To enhance voltage control, a tunable controller with optimized parameters was proposed. The conducted studies demonstrated a 16.5% improvement in the IAE index and faster settling time for Quasi-Z-Source voltage control using the proposed controller compared to the reference controller.

Suggested Citation

  • Przemysław Siwek & Konrad Urbanski, 2025. "Voltage Control Nonlinearity in QZSDMC Fed PMSM Drive System with Grid Filtering," Energies, MDPI, vol. 18(6), pages 1-27, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:6:p:1334-:d:1608198
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    References listed on IDEAS

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    1. Fengming Yu & Jun Liu, 2024. "Switching Current Predictive Control of a Permanent Magnet Synchronous Motor Based on the Exponential Moving Average Algorithm," Energies, MDPI, vol. 17(14), pages 1-19, July.
    2. Omar Aguilar-Mejia & Antonio Valderrabano-Gonzalez & Norberto Hernández-Romero & Juan Carlos Seck-Tuoh-Mora & Julio Cesar Hernandez-Ochoa & Hertwin Minor-Popocatl, 2024. "A Neuroadaptive Position-Sensorless Robust Control for Permanent Magnet Synchronous Motor Drive System with Uncertain Disturbance," Energies, MDPI, vol. 17(21), pages 1-17, November.
    3. Sergio Toledo & David Caballero & Edgar Maqueda & Juan J. Cáceres & Marco Rivera & Raúl Gregor & Patrick Wheeler, 2022. "Predictive Control Applied to Matrix Converters: A Systematic Literature Review," Energies, MDPI, vol. 15(20), pages 1-30, October.
    4. Horrillo-Quintero, Pablo & García-Triviño, Pablo & Sarrias-Mena, Raúl & García-Vázquez, Carlos A. & Fernández-Ramírez, Luis M., 2023. "Model predictive control of a microgrid with energy-stored quasi-Z-source cascaded H-bridge multilevel inverter and PV systems," Applied Energy, Elsevier, vol. 346(C).
    5. Kaining Qu & Pengfei Pang & Wei Hua, 2024. "High-Precision Rotor Position Fitting Method of Permanent Magnet Synchronous Machine Based on Hall-Effect Sensors," Energies, MDPI, vol. 17(22), pages 1-16, November.
    6. Annette von Jouanne & Emmanuel Agamloh & Alex Yokochi, 2025. "A Review of Matrix Converters in Motor Drive Applications," Energies, MDPI, vol. 18(1), pages 1-28, January.
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