FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter

Huawen Yao; Henry Shu-Hung Chung

doi:10.1109/ECCE58356.2025.11260303

FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Conventional finite-control-set model predictive control (FCS-MPC) for matrix converters faces challenges of extensive calculations and parameter uncertainties. This paper presents an innovative FCS-MPC approach that incorporates space vector preselection and online parameter identification. This approach reduces the computational burden required to determine the states of the switches for each switching cycle by reducing the number of candidate switching states from 27 to 5, while maintaining performance. Moreover, this technology continuously monitors the parameters of the passive components in the matrix converter for condition monitoring and optimizing the control performance. Experimental results are in close agreement with theoretical predictions.

© 2025 IEEE

Original language	English
Title of host publication	2025 IEEE Energy Conversion Conference Congress and Exposition (ECCE)
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	979-8-3315-4130-9
DOIs	https://doi.org/10.1109/ECCE58356.2025.11260303
Publication status	Published - 2025
Event	17th IEEE Energy Conversion Congress and Expo (ECCE 2025): Connecting Minds, Powering Innovations - Pennsylvania Convention Center, Philadelphia, United States Duration: 19 Oct 2025 → 23 Oct 2025 https://www.ieee-ecce.org/2025/

Conference

Conference	17th IEEE Energy Conversion Congress and Expo (ECCE 2025)
Abbreviated title	IEEE ECCE 2025
Place	United States
City	Philadelphia
Period	19/10/25 → 23/10/25
Internet address	https://www.ieee-ecce.org/2025/

Funding

This work was supported by grants from the Innovation and Technology Fund of the Hong Kong Special Administrative Region, China, through Projects MRP/010/21X.

Research Keywords

Matrix Converter
FCS-MPC
Online Parameter Identification

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10.1109/ECCE58356.2025.11260303

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@inproceedings{2f197518535e488cbea1b86a828afcb3,

title = "FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter",

abstract = "Conventional finite-control-set model predictive control (FCS-MPC) for matrix converters faces challenges of extensive calculations and parameter uncertainties. This paper presents an innovative FCS-MPC approach that incorporates space vector preselection and online parameter identification. This approach reduces the computational burden required to determine the states of the switches for each switching cycle by reducing the number of candidate switching states from 27 to 5, while maintaining performance. Moreover, this technology continuously monitors the parameters of the passive components in the matrix converter for condition monitoring and optimizing the control performance. Experimental results are in close agreement with theoretical predictions.{\textcopyright} 2025 IEEE",

keywords = "Matrix Converter, FCS-MPC, Online Parameter Identification",

author = "Huawen Yao and Chung, {Henry Shu-Hung}",

year = "2025",

doi = "10.1109/ECCE58356.2025.11260303",

language = "English",

booktitle = "2025 IEEE Energy Conversion Conference Congress and Exposition (ECCE)",

publisher = "IEEE",

address = "United States",

note = "17th IEEE Energy Conversion Congress and Expo (ECCE 2025) : Connecting Minds, Powering Innovations, IEEE ECCE 2025 ; Conference date: 19-10-2025 Through 23-10-2025",

url = "https://www.ieee-ecce.org/2025/",

}

Yao, H & Chung, HS-H 2025, FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter. in 2025 IEEE Energy Conversion Conference Congress and Exposition (ECCE). IEEE, 17th IEEE Energy Conversion Congress and Expo (ECCE 2025), Philadelphia, Pennsylvania, United States, 19/10/25. https://doi.org/10.1109/ECCE58356.2025.11260303

FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter. / Yao, Huawen ; Chung, Henry Shu-Hung.
2025 IEEE Energy Conversion Conference Congress and Exposition (ECCE). IEEE, 2025.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter

AU - Yao, Huawen

AU - Chung, Henry Shu-Hung

PY - 2025

Y1 - 2025

N2 - Conventional finite-control-set model predictive control (FCS-MPC) for matrix converters faces challenges of extensive calculations and parameter uncertainties. This paper presents an innovative FCS-MPC approach that incorporates space vector preselection and online parameter identification. This approach reduces the computational burden required to determine the states of the switches for each switching cycle by reducing the number of candidate switching states from 27 to 5, while maintaining performance. Moreover, this technology continuously monitors the parameters of the passive components in the matrix converter for condition monitoring and optimizing the control performance. Experimental results are in close agreement with theoretical predictions.© 2025 IEEE

AB - Conventional finite-control-set model predictive control (FCS-MPC) for matrix converters faces challenges of extensive calculations and parameter uncertainties. This paper presents an innovative FCS-MPC approach that incorporates space vector preselection and online parameter identification. This approach reduces the computational burden required to determine the states of the switches for each switching cycle by reducing the number of candidate switching states from 27 to 5, while maintaining performance. Moreover, this technology continuously monitors the parameters of the passive components in the matrix converter for condition monitoring and optimizing the control performance. Experimental results are in close agreement with theoretical predictions.© 2025 IEEE

KW - Matrix Converter

KW - FCS-MPC

KW - Online Parameter Identification

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001665554100793

U2 - 10.1109/ECCE58356.2025.11260303

DO - 10.1109/ECCE58356.2025.11260303

M3 - RGC 32 - Refereed conference paper (with host publication)

BT - 2025 IEEE Energy Conversion Conference Congress and Exposition (ECCE)

PB - IEEE

T2 - 17th IEEE Energy Conversion Congress and Expo (ECCE 2025)

Y2 - 19 October 2025 through 23 October 2025

ER -

FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter

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