Model Predictive Control and the Selection of Cost Functions

Rivera, Marco; Rojas, DIego; Wheeler, Patrick

Abstract

In model predictive control strategy implementations, the cost function selection is very important in ensuring good performance. 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 and show how to find the best balance in the cost function.

Citation

Rivera, M., Rojas, D., & Wheeler, P. (2021, September). Model Predictive Control and the Selection of Cost Functions. Presented at 2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe), Ghent, Belgium (online)

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe)
• Start Date: Sep 6, 2021
• End Date: Sep 10, 2021
• Acceptance Date: Sep 6, 2021
• Online Publication Date: Oct 25, 2021
• Publication Date: Sep 6, 2021
• Deposit Date: Jun 14, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 2956-2961
• Book Title: 2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe)
• ISBN: 978-1-6654-3384-6
• DOI: https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570571
• Public URL: https://nottingham-repository.worktribe.com/output/35447037
• Publisher URL: https://ieeexplore.ieee.org/document/9570571