Multiple-Input Multiple-Output Model Predictive Control of a Diesel Engine

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Standard

Multiple-Input Multiple-Output Model Predictive Control of a Diesel Engine. / Henningsson, Maria; Ekholm, Kent; Strandh, Petter; Johansson, Rolf.

I: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 43, Nr. 7, 2010, s. 131-136.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Harvard

APA

CBE

MLA

Vancouver

Author

Henningsson, Maria ; Ekholm, Kent ; Strandh, Petter ; Johansson, Rolf. / Multiple-Input Multiple-Output Model Predictive Control of a Diesel Engine. I: IFAC Proceedings Volumes (IFAC-PapersOnline). 2010 ; Vol. 43, Nr. 7. s. 131-136.

RIS

TY - JOUR

T1 - Multiple-Input Multiple-Output Model Predictive Control of a Diesel Engine

AU - Henningsson, Maria

AU - Ekholm, Kent

AU - Strandh, Petter

AU - Johansson, Rolf

PY - 2010

Y1 - 2010

N2 - Traditionally, diesel engine control has had to rely on indirect feedback variables and empirical open-loop maps because direct measurements of the variables representing highlevel objectives, such as emissions, have not been available in production engines. With new sensors being developed, the opportunity opens to design the controller directly based on highlevel objectives. In this paper, we propose to use model predictive control as a systematic way to go directly from high-level specifications to a control algorithm. The controller uses four actuator variables and five measured variables and is based on a model obtained through system identification. Experimental results on a six-cylinder heavy-duty engine around a fixed operating point demonstrate the potential of the control scheme.

AB - Traditionally, diesel engine control has had to rely on indirect feedback variables and empirical open-loop maps because direct measurements of the variables representing highlevel objectives, such as emissions, have not been available in production engines. With new sensors being developed, the opportunity opens to design the controller directly based on highlevel objectives. In this paper, we propose to use model predictive control as a systematic way to go directly from high-level specifications to a control algorithm. The controller uses four actuator variables and five measured variables and is based on a model obtained through system identification. Experimental results on a six-cylinder heavy-duty engine around a fixed operating point demonstrate the potential of the control scheme.

KW - MPC

KW - MIMO

KW - Diesel Engine

U2 - 10.3182/20100712-3-DE-2013.00003

DO - 10.3182/20100712-3-DE-2013.00003

M3 - Article

VL - 43

SP - 131

EP - 136

JO - IFAC Proceedings Volumes (IFAC-PapersOnline)

JF - IFAC Proceedings Volumes (IFAC-PapersOnline)

SN - 2405-8963

IS - 7

ER -