IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i12p2129-d122985.html
   My bibliography  Save this article

Near State Vector Selection-Based Model Predictive Control with Common Mode Voltage Mitigation for a Three-Phase Four-Leg Inverter

Author

Listed:
  • Abdul Mannan Dadu

    (Power Electronics and Renewable Energy Laboratory, Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Saad Mekhilef

    (Power Electronics and Renewable Energy Laboratory, Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Tey Kok Soon

    (Department of Computer System & Technology, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Mehdi Seyedmahmoudian

    (School of Engineering, Deakin University, Waurn Ponds, Victoria 3216, Australia)

  • Ben Horan

    (School of Engineering, Deakin University, Waurn Ponds, Victoria 3216, Australia)

Abstract

A high computational burden is required in conventional model predictive control, as all of the voltage vectors of a power inverter are used to predict the future behavior of the system. Apart from that, the common mode voltage (CMV) of a three-phase four-leg inverter utilizes up to half of the DC-link voltage due to the use of all of the available voltage vectors. Thus, this paper proposes a near state vector selection-based model predictive control (NSV-MPC) scheme to mitigate the CMV and reduce computational burden. In the proposed technique, only six active voltage vectors are used in the predictive model, and the vectors are selected based on the position of the future reference vector. In every sampling period, the position of the reference current is used to detect the voltage vectors surrounding the reference voltage vector. Besides the six active vectors, one of the zero vectors is also used. The proposed technique is compared with the conventional control scheme in terms of execution time, CMV variation, and load current ripple in both simulation and an experimental setup. The LabVIEW Field programmable gate array rapid prototyping controller is used to validate the proposed control scheme experimentally, and demonstrate that the CMV can be bounded within one-fourth of the DC-link voltage.

Suggested Citation

  • Abdul Mannan Dadu & Saad Mekhilef & Tey Kok Soon & Mehdi Seyedmahmoudian & Ben Horan, 2017. "Near State Vector Selection-Based Model Predictive Control with Common Mode Voltage Mitigation for a Three-Phase Four-Leg Inverter," Energies, MDPI, vol. 10(12), pages 1-19, December.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2129-:d:122985
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/12/2129/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/12/2129/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Cheng-Kai Lin & Jen-te Yu & Hao-Qun Huang & Jyun-Ting Wang & Hsing-Cheng Yu & Yen-Shin Lai, 2018. "A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems," Energies, MDPI, vol. 11(7), pages 1-29, July.

    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:10:y:2017:i:12:p:2129-:d:122985. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.