A study of weighting factor design in model predictive control applications

Rojas, Diego; Rivera, Marco; Munoz, Javier; Baier, Carlos; Wheeler, Patrick

Abstract

Weighting factor selection is considered to be a crucial aspect in the design of a predictive controller. In this paper a study of the design of weighting factors for different cost functions is presented. The study is based on three examples: switching frequency reduction, voltage vector reduction of the voltage source inverter and capacitor balancing of the three level neutral point clamped converter. The three examples have been evaluated using simulations in Matlab/Simulink which showed that by varying the weighting factor, there can be a negative or positive effect on the different system variables. Therefore the proper selection will depend on the system requirements, something which can now be defined.

Citation

Rojas, D., Rivera, M., Munoz, J., Baier, C., & Wheeler, P. (2021, December). A study of weighting factor design in model predictive control applications. Presented at IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021, Valparaíso, Chile

• Presentation Conference Type: Edited Proceedings
• Conference Name: IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021
• Start Date: Dec 6, 2021
• End Date: Dec 9, 2021
• Acceptance Date: Oct 21, 2021
• Online Publication Date: Feb 11, 2022
• Publication Date: Feb 11, 2022
• Deposit Date: Jun 6, 2022
• Publicly Available Date: Jun 6, 2022
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 32-36
• Book Title: 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
• ISBN: 9781665408745
• DOI: https://doi.org/10.1109/chilecon54041.2021.9702932
• Public URL: https://nottingham-repository.worktribe.com/output/8391230
• Publisher URL: https://ieeexplore-ieee-org.nottingham.idm.oclc.org/document/9702932
• Additional Information: © 2022 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.