Data-Driven Control of DC-DC Boost Converters Interfaced with Constant Power Loads

B. Moradi; K.  Moradi; P. Bauer; Q. Shafiee

doi:10.1109/ICDCM63994.2025.11144662

Data-Driven Control of DC-DC Boost Converters Interfaced with Constant Power Loads

B. Moradi, K. Moradi, P. Bauer, Q. Shafiee

DC systems, Energy conversion & Storage

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

This paper presents a data-driven control framework to improve the stability and optimize the performance of DC-DC boost converters supplying constant power loads (CPLs). The inherent negative impedance and non-linear characteristics of CPLs pose significant stability challenges in power electronic systems. To address these issues, this study evaluates the performance of data-driven integrator (I) and linear quadratic integral (LQI) controllers, both optimized using iterative feedback tuning (IFT), that eliminates the need for an explicit system model. The proposed controllers are systematically compared against conventional model-based designs to assess their effectiveness. Key dynamic challenges, including converter non-linearity, CPLinduced instability, and measurement noise, are considered in the analysis. Simulation results demonstrate that the data-driven LQI and I controllers achieve superior tracking accuracy, robustness, and stability. These findings underscore the advantages of datadriven control methodologies in ensuring reliable and efficient operation in practical power electronic applications.

Original language	English
Title of host publication	Proceedings of the 2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)
Editors	A. Chub
Place of Publication	Danvers
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	979-8-3315-1274-3
ISBN (Print)	979-8-3315-1275-0
DOIs	https://doi.org/10.1109/ICDCM63994.2025.11144662
Publication status	Published - 2025
Event	2025 IEEE Seventh International Conference on DC Microgrids (ICDCM) - Tallinn, Estonia Duration: 4 Jun 2025 → 6 Jun 2025

Conference

Conference	2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)
Country/Territory	Estonia
City	Tallinn
Period	4/06/25 → 6/06/25

Bibliographical note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Boost converter
constant power load
data-driven control
iterative feedback tuning
linear quadratic integral controller
microgrid

Access to Document

10.1109/ICDCM63994.2025.11144662

Cite this

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title = "Data-Driven Control of DC-DC Boost Converters Interfaced with Constant Power Loads",

abstract = "This paper presents a data-driven control framework to improve the stability and optimize the performance of DC-DC boost converters supplying constant power loads (CPLs). The inherent negative impedance and non-linear characteristics of CPLs pose significant stability challenges in power electronic systems. To address these issues, this study evaluates the performance of data-driven integrator (I) and linear quadratic integral (LQI) controllers, both optimized using iterative feedback tuning (IFT), that eliminates the need for an explicit system model. The proposed controllers are systematically compared against conventional model-based designs to assess their effectiveness. Key dynamic challenges, including converter non-linearity, CPLinduced instability, and measurement noise, are considered in the analysis. Simulation results demonstrate that the data-driven LQI and I controllers achieve superior tracking accuracy, robustness, and stability. These findings underscore the advantages of datadriven control methodologies in ensuring reliable and efficient operation in practical power electronic applications.",

keywords = "Boost converter, constant power load, data-driven control, iterative feedback tuning, linear quadratic integral controller, microgrid",

author = "B. Moradi and K. Moradi and P. Bauer and Q. Shafiee",

note = "Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2025 IEEE Seventh International Conference on DC Microgrids (ICDCM) ; Conference date: 04-06-2025 Through 06-06-2025",

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Moradi, B, Moradi, K, Bauer, P & Shafiee, Q 2025, Data-Driven Control of DC-DC Boost Converters Interfaced with Constant Power Loads. in A Chub (ed.), Proceedings of the 2025 IEEE Seventh International Conference on DC Microgrids (ICDCM). IEEE, Danvers, 2025 IEEE Seventh International Conference on DC Microgrids (ICDCM), Tallinn, Estonia, 4/06/25. https://doi.org/10.1109/ICDCM63994.2025.11144662

Data-Driven Control of DC-DC Boost Converters Interfaced with Constant Power Loads. / Moradi, B.; Moradi, K.; Bauer, P. et al.
Proceedings of the 2025 IEEE Seventh International Conference on DC Microgrids (ICDCM). ed. / A. Chub . Danvers: IEEE, 2025.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Data-Driven Control of DC-DC Boost Converters Interfaced with Constant Power Loads

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AU - Shafiee, Q.

N1 - Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2025

Y1 - 2025

N2 - This paper presents a data-driven control framework to improve the stability and optimize the performance of DC-DC boost converters supplying constant power loads (CPLs). The inherent negative impedance and non-linear characteristics of CPLs pose significant stability challenges in power electronic systems. To address these issues, this study evaluates the performance of data-driven integrator (I) and linear quadratic integral (LQI) controllers, both optimized using iterative feedback tuning (IFT), that eliminates the need for an explicit system model. The proposed controllers are systematically compared against conventional model-based designs to assess their effectiveness. Key dynamic challenges, including converter non-linearity, CPLinduced instability, and measurement noise, are considered in the analysis. Simulation results demonstrate that the data-driven LQI and I controllers achieve superior tracking accuracy, robustness, and stability. These findings underscore the advantages of datadriven control methodologies in ensuring reliable and efficient operation in practical power electronic applications.

AB - This paper presents a data-driven control framework to improve the stability and optimize the performance of DC-DC boost converters supplying constant power loads (CPLs). The inherent negative impedance and non-linear characteristics of CPLs pose significant stability challenges in power electronic systems. To address these issues, this study evaluates the performance of data-driven integrator (I) and linear quadratic integral (LQI) controllers, both optimized using iterative feedback tuning (IFT), that eliminates the need for an explicit system model. The proposed controllers are systematically compared against conventional model-based designs to assess their effectiveness. Key dynamic challenges, including converter non-linearity, CPLinduced instability, and measurement noise, are considered in the analysis. Simulation results demonstrate that the data-driven LQI and I controllers achieve superior tracking accuracy, robustness, and stability. These findings underscore the advantages of datadriven control methodologies in ensuring reliable and efficient operation in practical power electronic applications.

KW - Boost converter

KW - constant power load

KW - data-driven control

KW - iterative feedback tuning

KW - linear quadratic integral controller

KW - microgrid

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M3 - Conference contribution

SN - 979-8-3315-1275-0

BT - Proceedings of the 2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)

A2 - Chub , A.

PB - IEEE

CY - Danvers

T2 - 2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)

Y2 - 4 June 2025 through 6 June 2025

ER -

Data-Driven Control of DC-DC Boost Converters Interfaced with Constant Power Loads

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Keywords

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