IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i15p5489-d874838.html
   My bibliography  Save this article

Model Predictive Voltage Control of Uninterruptible Power Supply Based on Extended-State Observer

Author

Listed:
  • Guofeng He

    (School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China
    College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China)

  • Shicheng Zheng

    (School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China
    College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China)

  • Yanfei Dong

    (School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China
    College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China)

  • Guojiao Li

    (School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China
    College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China)

  • Wenjie Zhang

    (School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan 467036, China)

Abstract

Finite-set model predictive controls have been widely used in inverter control because of the flexible target control and no need of a modulation unit. However, the mismatching of prediction model parameters produces prediction errors, resulting in a significant decline in the performance of finite-set model predictive controls. Aiming at the problem of model parameter mismatch, an extended-state observer was proposed to accurately estimate the disturbance of the system in this paper, and the obtained disturbance value was added to a finite-set model predictive control controller to compensate for the prediction error and achieve parameter robustness. By constructing a prediction model of the inverter output voltage in αβ coordinates, all the possible output voltage values were predicted by using different voltage vectors and system measurement values. A set of voltage vectors that minimized the cost function was selected, and its corresponding switching state was applied to the inverter in the next sampling period to achieve control of the output voltage quality. Both the simulation and experimental results showed that the finite-set model predictive voltage control method based on the extended-state observer can estimate the total disturbance quickly and accurately, suppress the influence of capacitance parameter disturbance, and improve the control effect of an inverter.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5489-:d:874838
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/15/5489/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/15/5489/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marcio L. M. Amorim & Gabriel Augusto Ginja & João Paulo Carmo & Melkzedekue Moraes Alcântara Moreira & Adriano Almeida Goncalves Siqueira & Jose A. Afonso, 2022. "Low-Cost/High-Precision Smart Power Supply for Data Loggers," Energies, MDPI, vol. 16(1), pages 1-27, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    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. 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.
    4. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5489-:d:874838. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.