Extremum-seeking control for combined EGR fraction tracking and constrained pumping-loss minimization in Diesel engines

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

Abstract

Exhaust gas recirculation (EGR) is an often applied mechanism to suppress the emission of NOx in Diesel engines. EGR however, induces a pumping-loss, which reduces the fuel efficiency of the engine. The corresponding control problem is to track a reference EGR fraction, while simultaneously using the available actuators to minimize pumping-loss. These are conflicting objectives, as the minimum pumping-loss corresponds to zero EGR fraction. In addition, a lower constraint on the air/fuel equivalence ratio is taken into account to prevent high emission of particulate matter (PM). An extension of extremum-seeking (ES) is proposed which combines multivariable proportional-integral (PI) tracking control with optimization, where the conflicting objectives are decoupled by gradient projection. The controller does not rely on parametric models, disturbance knowledge, or explicit optimization, hence it is robust with respect to real-world disturbances and the additional computational effort compared with a standard PI controller is low. The controller is demonstrated in a simulation example using a physics based Diesel engine model.
LanguageEnglish
Title of host publication2019 American Control Conference (ACC) Philadelphia, PA, USA, July 10-12, 2019
Pages1623-1628
StatePublished - Jul 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: 10 Jul 201912 Jul 2019
http://acc2019.a2c2.org

Conference

Conference2019 American Control Conference, ACC 2019
Abbreviated titleACC2019
CountryUnited States
CityPhiladelphia
Period10/07/1912/07/19
Internet address

Fingerprint

Exhaust gas recirculation
Diesel engines
Controllers
Actuators
Physics
Engines
Air

Cite this

@inproceedings{2ce8a3d6a66d4549a114d8b63f3d0ac8,
title = "Extremum-seeking control for combined EGR fraction tracking and constrained pumping-loss minimization in Diesel engines",
abstract = "Exhaust gas recirculation (EGR) is an often applied mechanism to suppress the emission of NOx in Diesel engines. EGR however, induces a pumping-loss, which reduces the fuel efficiency of the engine. The corresponding control problem is to track a reference EGR fraction, while simultaneously using the available actuators to minimize pumping-loss. These are conflicting objectives, as the minimum pumping-loss corresponds to zero EGR fraction. In addition, a lower constraint on the air/fuel equivalence ratio is taken into account to prevent high emission of particulate matter (PM). An extension of extremum-seeking (ES) is proposed which combines multivariable proportional-integral (PI) tracking control with optimization, where the conflicting objectives are decoupled by gradient projection. The controller does not rely on parametric models, disturbance knowledge, or explicit optimization, hence it is robust with respect to real-world disturbances and the additional computational effort compared with a standard PI controller is low. The controller is demonstrated in a simulation example using a physics based Diesel engine model.",
author = "{van der Weijst}, Robert and {van Keulen}, Thijs and Frank Willems",
year = "2019",
month = "7",
language = "English",
pages = "1623--1628",
booktitle = "2019 American Control Conference (ACC) Philadelphia, PA, USA, July 10-12, 2019",

}

van der Weijst, R, van Keulen, T & Willems, F 2019, Extremum-seeking control for combined EGR fraction tracking and constrained pumping-loss minimization in Diesel engines. in 2019 American Control Conference (ACC) Philadelphia, PA, USA, July 10-12, 2019. pp. 1623-1628, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 10/07/19.

Extremum-seeking control for combined EGR fraction tracking and constrained pumping-loss minimization in Diesel engines. / van der Weijst, Robert; van Keulen, Thijs; Willems, Frank.

2019 American Control Conference (ACC) Philadelphia, PA, USA, July 10-12, 2019. 2019. p. 1623-1628.

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

TY - GEN

T1 - Extremum-seeking control for combined EGR fraction tracking and constrained pumping-loss minimization in Diesel engines

AU - van der Weijst,Robert

AU - van Keulen,Thijs

AU - Willems,Frank

PY - 2019/7

Y1 - 2019/7

N2 - Exhaust gas recirculation (EGR) is an often applied mechanism to suppress the emission of NOx in Diesel engines. EGR however, induces a pumping-loss, which reduces the fuel efficiency of the engine. The corresponding control problem is to track a reference EGR fraction, while simultaneously using the available actuators to minimize pumping-loss. These are conflicting objectives, as the minimum pumping-loss corresponds to zero EGR fraction. In addition, a lower constraint on the air/fuel equivalence ratio is taken into account to prevent high emission of particulate matter (PM). An extension of extremum-seeking (ES) is proposed which combines multivariable proportional-integral (PI) tracking control with optimization, where the conflicting objectives are decoupled by gradient projection. The controller does not rely on parametric models, disturbance knowledge, or explicit optimization, hence it is robust with respect to real-world disturbances and the additional computational effort compared with a standard PI controller is low. The controller is demonstrated in a simulation example using a physics based Diesel engine model.

AB - Exhaust gas recirculation (EGR) is an often applied mechanism to suppress the emission of NOx in Diesel engines. EGR however, induces a pumping-loss, which reduces the fuel efficiency of the engine. The corresponding control problem is to track a reference EGR fraction, while simultaneously using the available actuators to minimize pumping-loss. These are conflicting objectives, as the minimum pumping-loss corresponds to zero EGR fraction. In addition, a lower constraint on the air/fuel equivalence ratio is taken into account to prevent high emission of particulate matter (PM). An extension of extremum-seeking (ES) is proposed which combines multivariable proportional-integral (PI) tracking control with optimization, where the conflicting objectives are decoupled by gradient projection. The controller does not rely on parametric models, disturbance knowledge, or explicit optimization, hence it is robust with respect to real-world disturbances and the additional computational effort compared with a standard PI controller is low. The controller is demonstrated in a simulation example using a physics based Diesel engine model.

M3 - Conference contribution

SP - 1623

EP - 1628

BT - 2019 American Control Conference (ACC) Philadelphia, PA, USA, July 10-12, 2019

ER -