Effect of model parameter errors in model predictive control applications

Rojas, Diego; Rivera, Marco; Munoz, Javier; Wheeler, Patrick; Zanchetta, Pericle; Mirzaeva, Galina

Abstract

When implementing predictive control strategies for power electronic converters a good model of the system is needed because this model determines the quality of the resulting controller. In this paper a study of the model parameter error effects in predictive control applications is presented. The results show that by considering a short sampling time, there can be a significant impact if there are variations in the resistance and inductance values.

Citation

Rojas, D., Rivera, M., Munoz, J., Wheeler, P., Zanchetta, P., & Mirzaeva, G. (2021, December). Effect of model parameter errors in model predictive control applications. Presented at 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), Valparaíso, Chile

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
• Start Date: Dec 6, 2021
• End Date: Dec 9, 2021
• Acceptance Date: Oct 21, 2021
• Online Publication Date: Feb 11, 2022
• Publication Date: Dec 6, 2021
• Deposit Date: Jun 9, 2022
• Publicly Available Date: Jun 9, 2022
• Publisher: Institute of Electrical and Electronics Engineers
• ISBN: 9781665408738
• DOI: https://doi.org/10.1109/CHILECON54041.2021.9702942
• Public URL: https://nottingham-repository.worktribe.com/output/8397051
• Publisher URL: https://ieeexplore.ieee.org/document/9702942
• Additional Information: Abstract in English; text in Spanish.