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Model Predictive Control of Uninterruptible Power Supply with Robust Disturbance Observer

Author

Listed:
  • Yahya Danayiyen

    (Department of Electrical and Electronics Engineering, Karadeniz Technical University, Trabzon 61080, Turkey)

  • Kyungsuk Lee

    (Department of Electrical and Information Engineering, RCEIT, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Minho Choi

    (Department of Electrical and Information Engineering, RCEIT, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Young Il Lee

    (Department of Electrical and Information Engineering, RCEIT, Seoul National University of Science and Technology, Seoul 01811, Korea)

Abstract

This paper presents a robust continuous control set model predictive control (CCS-MPC) method to control the output voltage of a three-phase inverter in uninterruptible power supplies (UPS). A robust disturbance observer (DOB) is proposed to estimate the load current of the three-phase UPS without a steady-state error, taking the effect of model uncertainties into account. A CCS-MPC is designed using the DOB for reference voltage tracking purpose, and input constraints are considered in the controller design to calculate the optimal control input. Model uncertainties are defined using polytopic uncertainty class, and a linear matrix inequality (LMI) optimization method is used to compute the optimal observer gain matrix. Another robust controller (RC) is designed based on the DOB and compared with CCS-MPC. The effectiveness of the proposed method (the DOB based CCS-MPC) is evaluated for resistive, inductive, and nonlinear loads then compared with other control methods using a three-phase 5-KVA laboratory experiment UPS system.

Suggested Citation

  • Yahya Danayiyen & Kyungsuk Lee & Minho Choi & Young Il Lee, 2019. "Model Predictive Control of Uninterruptible Power Supply with Robust Disturbance Observer," Energies, MDPI, vol. 12(15), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2871-:d:251682
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    References listed on IDEAS

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    1. Kooksun Lee & Jeongju Lee & Juhoon Back & Young Il Lee, 2019. "A Robust Emulation of Mechanical Loads Using a Disturbance-Observer," Energies, MDPI, vol. 12(12), pages 1-14, June.
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    Cited by:

    1. Krzysztof Kołek & Andrzej Firlit, 2021. "A New Optimal Current Controller for a Three-Phase Shunt Active Power Filter Based on Karush–Kuhn–Tucker Conditions," Energies, MDPI, vol. 14(19), pages 1-17, October.
    2. Kyunghwan Choi & Dong Soo Kim & Seok-Kyoon Kim, 2020. "Disturbance Observer-Based Offset-Free Global Tracking Control for Input-Constrained LTI Systems with DC/DC Buck Converter Applications," Energies, MDPI, vol. 13(16), pages 1-18, August.
    3. Jaime A. Rohten & David N. Dewar & Pericle Zanchetta & Andrea Formentini & Javier A. Muñoz & Carlos R. Baier & José J. Silva, 2021. "Multivariable Deadbeat Control of Power Electronics Converters with Fast Dynamic Response and Fixed Switching Frequency," Energies, MDPI, vol. 14(2), pages 1-16, January.
    4. Guofeng He & Shicheng Zheng & Yanfei Dong & Guojiao Li & Wenjie Zhang, 2022. "Model Predictive Voltage Control of Uninterruptible Power Supply Based on Extended-State Observer," Energies, MDPI, vol. 15(15), pages 1-20, July.
    5. Jaime A. Rohten & Javier E. Muñoz & Esteban S. Pulido & José J. Silva & Felipe A. Villarroel & José R. Espinoza, 2021. "Very Low Sampling Frequency Model Predictive Control for Power Converters in the Medium and High-Power Range Applications," Energies, MDPI, vol. 14(1), pages 1-18, January.

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