A Study of Cost Function Selection in Model Predictive Control Applications

Rojas, Diego; Rivera, Marco; Wheeler, Patrick; Zanchetta, Pericle; Mirzaeva, Galina; Rohten, Jaime

Abstract

The cost function selection is considered one of the most relevant aspects for the implementation of Model Predictive Control strategies. In this paper a study of the most common cost functions used for the control of a two level voltage source inverter is presented. The paper introduces several cost function alternatives that could be considered for different power electronic converter applications to compare the implementation and resulting converter waveforms. The results show that Model Predictive Control is an alternative for the implementation of different control objectives in power electronic converters.

Citation

Rojas, D., Rivera, M., Wheeler, P., Zanchetta, P., Mirzaeva, G., & Rohten, J. (2021). A Study of Cost Function Selection in Model Predictive Control Applications. In 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA). https://doi.org/10.1109/icaacca51523.2021.9465326

• Presentation Conference Type: Edited Proceedings
• Conference Name: IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA 2021)
• Start Date: Mar 22, 2021
• End Date: Mar 26, 2021
• Acceptance Date: Feb 6, 2021
• Online Publication Date: Jul 1, 2021
• Publication Date: Mar 22, 2021
• Deposit Date: Oct 29, 2021
• Publicly Available Date: Oct 29, 2021
• Series Title: IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
• Book Title: 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
• ISBN: 9781665429788
• DOI: https://doi.org/10.1109/icaacca51523.2021.9465326
• Public URL: https://nottingham-repository.worktribe.com/output/6543672
• Publisher URL: https://ieeexplore.ieee.org/document/9465326
• Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.