Automotive control; Automotive systems; Predictive control for linear systems
Abstract :
[en] This paper presents an explicit multi-model predictive 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.
Disciplines :
Energy
Author, co-author :
Grelet, Vincent; Université Claude Bernard - Lyon 1 - UCLB et Université de Liège
Dufour, Pascal; Université Claude Bernard - Lyon 1 - UCLB
Nadri, Madiha; Université Claude Bernard - Lyon 1 - UCLB
Lemort, Vincent ; Université de Liège > Département d'aérospatiale et mécanique > Systèmes énergétiques
Reiche, Thomas; Renault Trucks
Language :
English
Title :
Explicit Multi Model Predictive Control of a Waste Heat Rankine Based System for Heavy Duty Trucks
Publication date :
2015
Event name :
54th IEEE Conference on Decision and Control
Event organizer :
IEEE
Event place :
Osaka, Japan
Event date :
du 15 décembre 2015 au 18 décembre 2015
Audience :
International
Main work title :
Proceedings of the 54th IEEE Conference on Decision and Control
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