MPC Weighted sum approach applied to torque tracking and CO2 emission reduction on engines

Jose Vuelvas, George Archbold, Fredy Ruiz

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

This paper presents the design of non-linear torque control strategy for an engine, developed as the weighted sum of linear model predictive control (MPC) laws. The controller is optimized for tracking a reference torque signal and for reducing CO2 emissions. The engine model is taken from Toyota student competition of European Control Conference (ECC) 2015. Subspace identification techniques were employed to identify linear local models of the engine. Two control strategies are proposed: a) linear MPC and b) MPC weighted sum approach. Both solutions are compared to determine the best one. Lastly, MPC weighted sum control shows better results than linear MPC in tracking problems and the performance index proposed by the competition.

Idioma originalInglés
Título de la publicación alojada2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings
EditoresDiego Patino, Eugenio Yime
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-6
Número de páginas6
ISBN (versión digital)9781538603987
DOI
EstadoPublicada - 02 jul. 2017
Evento3rd IEEE Colombian Conference on Automatic Control, CCAC 2017 - Cartagena, Colombia
Duración: 18 oct. 201720 oct. 2017

Serie de la publicación

Nombre2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings
Volumen2018-January

Conferencia

Conferencia3rd IEEE Colombian Conference on Automatic Control, CCAC 2017
País/TerritorioColombia
CiudadCartagena
Período18/10/1720/10/17

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