LAPSE:2023.28997
Published Article
LAPSE:2023.28997
Multivariable Deadbeat Control of Power Electronics Converters with Fast Dynamic Response and Fixed Switching Frequency
Jaime A. Rohten, David N. Dewar, Pericle Zanchetta, Andrea Formentini, Javier A. Muñoz, Carlos R. Baier, José J. Silva
April 12, 2023
Abstract
Power converters have turned into a critical and every-day solution for electric power systems. In fact, the incorporation of renewable energies has led towards the constant improvement of power converter topologies and their controls. In this context, over the last 10 years, model predictive control (MPC) is positioned as one the most studied and promising alternatives for power converter control. In voltage source inverters (VSI), MPC has only been applied in the inner current control loop, accelerating and improving its dynamic response, but as mentioned, has been limited only to the current control loop. The fastest of the MPC techniques is the Deadbeat (DB) control, and in this paper, it is proposed to employ DB control on the entire system, therefore accelerating the time response not only for the current loops, but also for voltage loops. At the same time, this avoids overshoots and overpower in order to protect the power converter, leading to the fastest dynamic response according to VSI capabilities. For renewable energies, fast-dynamics entails fast maximum power tracking and therefore, maximizes energy harvesting, or in other words, reduces the losses due to the control dynamics. Thus, this paper gives a clear procedure and key points for designing a DB control for all the variables based on a mathematical model, which is corroborated by simulations and the experimental results.
Keywords
energy management, Model Predictive Control, power converters, soft deadbeat algorithm
Suggested Citation
Rohten JA, Dewar DN, Zanchetta P, Formentini A, Muñoz JA, Baier CR, Silva JJ. Multivariable Deadbeat Control of Power Electronics Converters with Fast Dynamic Response and Fixed Switching Frequency. (2023). LAPSE:2023.28997
Author Affiliations
Rohten JA: Department of Electrical and Electronic Engineering, Universidad Del Bío-Bío, Avenida Collao 1202, 4051381 Concepción, Chile [ORCID]
Dewar DN: Department of Electrical and Electronic Engineering, University Park, University of Nottingham, Nottingham NG7 2RD, UK [ORCID]
Zanchetta P: Department of Electrical and Electronic Engineering, University Park, University of Nottingham, Nottingham NG7 2RD, UK; Department of Electrical Computer and Biomedical Engineering, University of Pavia, Via A. Ferrata 5, 27100 Pavia, Italy
Formentini A: Department of Electrical and Electronic Engineering, University Park, University of Nottingham, Nottingham NG7 2RD, UK
Muñoz JA: Department of Electrical Engineering, Universidad de Talca, Camino Los Niches Km. 1, 3340000 Curicó, Chile [ORCID]
Baier CR: Department of Electrical Engineering, Universidad de Talca, Camino Los Niches Km. 1, 3340000 Curicó, Chile
Silva JJ: Department of Electrical Engineering, Universidad de Concepción, Victor Lamas 1290, 4070386 Concepción, Chile [ORCID]
Journal Name
Energies
Volume
14
Issue
2
Article Number
en14020313
Year
2021
Publication Date
2021-01-08
ISSN
1996-1073
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Original Submission
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PII: en14020313, Publication Type: Journal Article
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LAPSE:2023.28997
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https://doi.org/10.3390/en14020313
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