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A study of weighting factor design in model predictive control applications

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

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Authors

Diego Rojas

Marco Rivera

Javier Munoz

Carlos Baier



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.

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