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

Jose Vuelvas, George Archbold, Fredy Ruiz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings
EditorsDiego Patino, Eugenio Yime
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538603987
DOIs
StatePublished - 02 Jul 2017
Event3rd IEEE Colombian Conference on Automatic Control, CCAC 2017 - Cartagena, Colombia
Duration: 18 Oct 201720 Oct 2017

Publication series

Name2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings
Volume2018-January

Conference

Conference3rd IEEE Colombian Conference on Automatic Control, CCAC 2017
Country/TerritoryColombia
CityCartagena
Period18/10/1720/10/17

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