A study of weighting factor design in model predictive control applications

Rojas, Diego; Rivera, Marco; Muñoz, javier; Baier, Carlos; Wheeler, Patrick; IEEE

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.

Más información

Título según WOS: A study of weighting factor design in model predictive control applications
Título según SCOPUS: A study of weighting factor design in model predictive control applications
Título de la Revista: 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021
Editorial: Institute of Electrical and Electronics Engineers Inc.
Fecha de publicación: 2021
Idioma: Spanish
DOI:

10.1109/CHILECON54041.2021.9702932

Notas: ISI, SCOPUS