Robust Control of Grid-Tied Inverter with LC Filter via Adaptive FCS-MPC Cost Function Optimization

M. H. Arshad; Qing Zhao; Mahmoud Kassas

doi:10.1109/ISIE62713.2025.11124647

Robust Control of Grid-Tied Inverter with LC Filter via Adaptive FCS-MPC Cost Function Optimization

M. H. Arshad, Qing Zhao^*, Mahmoud Kassas

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a robust model predictive control for 3-φ grid-tied inverter with LC filter is presented. The overall control architecture is made up of two interconnected control loops. The outer loop, based on H_∞ control, regulates grid current in the event of system parameter changes and external load disruptions. This outer control loop also provides the current reference for the inner controller. The inner loop employs Finite Control Set Model Predictive Control (FCSMPC) to regulate the inverter and produce the output voltage necessary to fulfill the design objectives. The FCS-MPC cost function is formulated as a multi-objective optimization problem, for which the VIKOR technique is applied to determine the best compromise among competing objectives. Finally, the profiles of tracking, load disturbance, and robustness are validated in a simulation case study.

Original language	English
Title of host publication	2025 IEEE 34th International Symposium on Industrial Electronics, ISIE 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350374797
DOIs	https://doi.org/10.1109/ISIE62713.2025.11124647
State	Published - 2025
Event	34th IEEE International Symposium on Industrial Electronics, ISIE 2025 - Toronto, Canada Duration: 20 Jun 2025 → 23 Jun 2025

Publication series

Name	IEEE International Symposium on Industrial Electronics
ISSN (Print)	2163-5137
ISSN (Electronic)	2163-5145

Conference

Conference	34th IEEE International Symposium on Industrial Electronics, ISIE 2025
Country/Territory	Canada
City	Toronto
Period	20/06/25 → 23/06/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

FCS-MPC
H control
LCL filter
MPC
VIKOR method. weighting factors

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ISIE62713.2025.11124647

Cite this

Arshad, M. H., Zhao, Q., & Kassas, M. (2025). Robust Control of Grid-Tied Inverter with LC Filter via Adaptive FCS-MPC Cost Function Optimization. In 2025 IEEE 34th International Symposium on Industrial Electronics, ISIE 2025 (IEEE International Symposium on Industrial Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE62713.2025.11124647

@inproceedings{974bdb2948214f279a21030bc4c6672d,

title = "Robust Control of Grid-Tied Inverter with LC Filter via Adaptive FCS-MPC Cost Function Optimization",

abstract = "In this paper, a robust model predictive control for 3-φ grid-tied inverter with LC filter is presented. The overall control architecture is made up of two interconnected control loops. The outer loop, based on H∞ control, regulates grid current in the event of system parameter changes and external load disruptions. This outer control loop also provides the current reference for the inner controller. The inner loop employs Finite Control Set Model Predictive Control (FCSMPC) to regulate the inverter and produce the output voltage necessary to fulfill the design objectives. The FCS-MPC cost function is formulated as a multi-objective optimization problem, for which the VIKOR technique is applied to determine the best compromise among competing objectives. Finally, the profiles of tracking, load disturbance, and robustness are validated in a simulation case study.",

keywords = "FCS-MPC, H control, LCL filter, MPC, VIKOR method. weighting factors",

author = "Arshad, \{M. H.\} and Qing Zhao and Mahmoud Kassas",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 34th IEEE International Symposium on Industrial Electronics, ISIE 2025 ; Conference date: 20-06-2025 Through 23-06-2025",

year = "2025",

doi = "10.1109/ISIE62713.2025.11124647",

language = "English",

series = "IEEE International Symposium on Industrial Electronics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2025 IEEE 34th International Symposium on Industrial Electronics, ISIE 2025",

address = "United States",

}

Arshad, MH, Zhao, Q & Kassas, M 2025, Robust Control of Grid-Tied Inverter with LC Filter via Adaptive FCS-MPC Cost Function Optimization. in 2025 IEEE 34th International Symposium on Industrial Electronics, ISIE 2025. IEEE International Symposium on Industrial Electronics, Institute of Electrical and Electronics Engineers Inc., 34th IEEE International Symposium on Industrial Electronics, ISIE 2025, Toronto, Canada, 20/06/25. https://doi.org/10.1109/ISIE62713.2025.11124647

Robust Control of Grid-Tied Inverter with LC Filter via Adaptive FCS-MPC Cost Function Optimization. / Arshad, M. H.; Zhao, Qing; Kassas, Mahmoud.
2025 IEEE 34th International Symposium on Industrial Electronics, ISIE 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (IEEE International Symposium on Industrial Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Robust Control of Grid-Tied Inverter with LC Filter via Adaptive FCS-MPC Cost Function Optimization

AU - Arshad, M. H.

AU - Zhao, Qing

AU - Kassas, Mahmoud

PY - 2025

Y1 - 2025

N2 - In this paper, a robust model predictive control for 3-φ grid-tied inverter with LC filter is presented. The overall control architecture is made up of two interconnected control loops. The outer loop, based on H∞ control, regulates grid current in the event of system parameter changes and external load disruptions. This outer control loop also provides the current reference for the inner controller. The inner loop employs Finite Control Set Model Predictive Control (FCSMPC) to regulate the inverter and produce the output voltage necessary to fulfill the design objectives. The FCS-MPC cost function is formulated as a multi-objective optimization problem, for which the VIKOR technique is applied to determine the best compromise among competing objectives. Finally, the profiles of tracking, load disturbance, and robustness are validated in a simulation case study.

AB - In this paper, a robust model predictive control for 3-φ grid-tied inverter with LC filter is presented. The overall control architecture is made up of two interconnected control loops. The outer loop, based on H∞ control, regulates grid current in the event of system parameter changes and external load disruptions. This outer control loop also provides the current reference for the inner controller. The inner loop employs Finite Control Set Model Predictive Control (FCSMPC) to regulate the inverter and produce the output voltage necessary to fulfill the design objectives. The FCS-MPC cost function is formulated as a multi-objective optimization problem, for which the VIKOR technique is applied to determine the best compromise among competing objectives. Finally, the profiles of tracking, load disturbance, and robustness are validated in a simulation case study.

KW - FCS-MPC

KW - H control

KW - LCL filter

KW - MPC

KW - VIKOR method. weighting factors

UR - https://www.scopus.com/pages/publications/105016262997

U2 - 10.1109/ISIE62713.2025.11124647

DO - 10.1109/ISIE62713.2025.11124647

M3 - Conference contribution

AN - SCOPUS:105016262997

T3 - IEEE International Symposium on Industrial Electronics

BT - 2025 IEEE 34th International Symposium on Industrial Electronics, ISIE 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 34th IEEE International Symposium on Industrial Electronics, ISIE 2025

Y2 - 20 June 2025 through 23 June 2025

ER -

Robust Control of Grid-Tied Inverter with LC Filter via Adaptive FCS-MPC Cost Function Optimization

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this