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Predictive In-Cycle Closed-Loop Combustion Control with Pilot-Main Injections

Jorques Moreno, Carlos LU ; Stenlåås, Ola LU and Tunestål, Per LU (2021) 21th IFAC World Congress In IFAC-PapersOnLine 53(2). p.14000-14007
Abstract
This paper studies the use of predictive in-cycle close-loop combustion control to reduce the stochastic cyclic variations of diesel combustion. The combustion metrics that fully define the pressure trace with a pilot-main injection i.e. pilot and main start of combustion, burned pilot mass, and engine load are used as the set-point reference. These metrics are in-cycle predicted by calibrated models as functions of the current cylinder state, estimated by in-cylinder pressure measurements. The proposed approach uses four individual controllers for the set-point error minimization, which respectively regulate the injection’s timing and duration of the pilot-main injection. The controllers are implemented in a FPGA and tested in a Scania... (More)
This paper studies the use of predictive in-cycle close-loop combustion control to reduce the stochastic cyclic variations of diesel combustion. The combustion metrics that fully define the pressure trace with a pilot-main injection i.e. pilot and main start of combustion, burned pilot mass, and engine load are used as the set-point reference. These metrics are in-cycle predicted by calibrated models as functions of the current cylinder state, estimated by in-cylinder pressure measurements. The proposed approach uses four individual controllers for the set-point error minimization, which respectively regulate the injection’s timing and duration of the pilot-main injection. The controllers are implemented in a FPGA and tested in a Scania D13 engine. The steady-state error reduction, disturbance rejection and transient response are discussed. The results confirm the error reduction in both, cycle-to-cycle and cylinder-to-cylinder variations. The error dispersion, measured by the 95% confidence interval, was reduced between 25% and 75% for all the controlled parameters. By on-line adaptation, the controllers are robust against model uncertainties and fuel types. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IFAC-PapersOnLine
volume
53
issue
2
pages
8 pages
publisher
IFAC Secretariat
conference name
21th IFAC World Congress
conference location
Berlin, Germany
conference dates
2020-07-12 - 2020-07-17
external identifiers
  • scopus:85092738251
ISSN
2405-8963
DOI
10.1016/j.ifacol.2020.12.920
language
English
LU publication?
yes
id
e2f2da25-2348-4012-baf8-fc89b1bd2cf0
date added to LUP
2021-04-20 09:13:27
date last changed
2022-04-27 01:36:07
@article{e2f2da25-2348-4012-baf8-fc89b1bd2cf0,
  abstract     = {{This paper studies the use of predictive in-cycle close-loop combustion control to reduce the stochastic cyclic variations of diesel combustion. The combustion metrics that fully define the pressure trace with a pilot-main injection i.e. pilot and main start of combustion, burned pilot mass, and engine load are used as the set-point reference. These metrics are in-cycle predicted by calibrated models as functions of the current cylinder state, estimated by in-cylinder pressure measurements. The proposed approach uses four individual controllers for the set-point error minimization, which respectively regulate the injection’s timing and duration of the pilot-main injection. The controllers are implemented in a FPGA and tested in a Scania D13 engine. The steady-state error reduction, disturbance rejection and transient response are discussed. The results confirm the error reduction in both, cycle-to-cycle and cylinder-to-cylinder variations. The error dispersion, measured by the 95% confidence interval, was reduced between 25% and 75% for all the controlled parameters. By on-line adaptation, the controllers are robust against model uncertainties and fuel types.}},
  author       = {{Jorques Moreno, Carlos and Stenlåås, Ola and Tunestål, Per}},
  issn         = {{2405-8963}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{2}},
  pages        = {{14000--14007}},
  publisher    = {{IFAC Secretariat}},
  series       = {{IFAC-PapersOnLine}},
  title        = {{Predictive In-Cycle Closed-Loop Combustion Control with Pilot-Main Injections}},
  url          = {{http://dx.doi.org/10.1016/j.ifacol.2020.12.920}},
  doi          = {{10.1016/j.ifacol.2020.12.920}},
  volume       = {{53}},
  year         = {{2021}},
}