A new modulated model predictive current controller with reduced computational burden

Andrew, Euan T. and Ahmed, Khaled and Holliday, Derrick; (2021) A new modulated model predictive current controller with reduced computational burden. In: 2021 9th International Conference on Smart Grid (icSmartGrid). IEEE, Piscataway, NJ. ISBN 9781665445313 (https://doi.org/10.1109/icSmartGrid52357.2021.9551...)

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Abstract

Model Predictive Control (MPC) has been widely used for grid connected converters, due to its rapid dynamic response and easy inclusion of system constraints and nonlinearities. Existing finite control set MPC approaches suffer from variable switching frequency, whilst existing modulated MPC implementations suffer from a high computational burden. This paper proposes a new implementation of modulated MPC which offers half the computational burden whilst retaining identical performance. The proposed method is applied to a two-level voltage source converter and its performance is compared to existing approaches in simulation. Experimental results are included to prove the reduced computational burden.

  • Item type:Book Section
    ID code:81200
    Dates:
    Date
    Event
    5 October 2021
    Published
    5 June 2021
    Accepted
    Notes:© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Strategic Research Themes > Energy
    Depositing user: Pure Administrator
    Date deposited:20 Jun 2022 10:20
    Last modified:08 Apr 2024 14:16
    URI:https://strathprints.strath.ac.uk/id/eprint/81200
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