Explicit multi model predictive control of a waste heat Rankine based system for heavy duty trucks
Résumé
This paper presents an explicit multi-model pre-
dictive controller (MMPC) for a waste heat recovery system
(WHRS) mounted on a heavy duty truck engine. WHRS based
on the Rankine cycle principle attracts a lot of interest in
the heavy duty industry, over the past few years, to decrease
the fuel consumption and reach the future pollutant emissions
standards. Control issues have still to be faced before the
integration of such a system into a vehicle. Model predictive
controllers suits really well for our control purpose due to their
ability to handle online optimal control problem. This paper
focuses on the development of an explicit control law based
on MMPC with aim to control the fluid temperature at the
inlet of the expansion machine in order to increase the system
performance and the reliability.
Domaines
Automatique / Robotique
Origine : Fichiers produits par l'(les) auteur(s)
Origine : Fichiers produits par l'(les) auteur(s)