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The Selection of Cost Functions in Model Predictive Control Applications

Rivera, Marco; Rojas, Diego; Wheeler, Patrick

Authors

Diego Rojas



Abstract

In model predictive control strategies, the cost function selection is the most relevant aspects to obtain a good performance of the full system. In this paper a study of the most common cost functions used for the control of two level voltage source inverters is presented. The paper compares several cost function alternatives that could be considered for different power electronic converter applications. The results show that Model Predictive Control is a suitable alternative for the implementation of different control objectives in power converters.

Citation

Rivera, M., Rojas, D., & Wheeler, P. (2021, October). The Selection of Cost Functions in Model Predictive Control Applications. Presented at 2021 21st International Symposium on Power Electronics, Ee 2021, Novo Sad, Serbia (online)

Presentation Conference Type Edited Proceedings
Conference Name 2021 21st International Symposium on Power Electronics, Ee 2021
Start Date Oct 27, 2021
End Date Oct 30, 2021
Acceptance Date Oct 27, 2021
Online Publication Date Dec 6, 2021
Publication Date Oct 27, 2021
Deposit Date Jun 14, 2024
Publisher Institute of Electrical and Electronics Engineers
Book Title 2021 21st International Symposium on Power Electronics (Ee)
ISBN 978-1-6654-0188-3
DOI https://doi.org/10.1109/Ee53374.2021.9628336
Public URL https://nottingham-repository.worktribe.com/output/35447097
Publisher URL https://ieeexplore.ieee.org/document/9628336