% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@PHDTHESIS{Ritter:1009590,
author = {Ritter, Dennis},
othercontributors = {Abel, Dirk and Pitsch, Heinz},
title = {{O}ptimierungsbasierte {R}egelung von multimodalen
{B}rennverfahren für kompressionsgezündete {M}otoren},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2025-03556},
pages = {1 Online-Ressource : Illustrationen},
year = {2024},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2025; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2024},
abstract = {This dissertation addresses the optimization-based control
of multimodal combustion processes for compression-ignition
engines. The focus is on two engine applications: Natural
gas diesel dual-fuel engines and diesel engines. In this
work, multi-mode combustion processes are defined as
combustion processes that combine different combustion
modes. These can typically only be used in parts of the
operating map and can differ considerably in terms of their
combustion and system characteristics. Specifically, this
refers to the combined operation of (conventional) high and
low-temperature combustion processes.Low-temperature
combustion makes it possible to reduce pollutant emissions
while maintaining a high level of efficiency. However, these
advantages are accompanied by increased complexity in
process control - the full potential can therefore only be
exploited using suitable control algorithms. General
challenges are the strong non-linearity of the process, the
coupled multiple-input-multiple-output (MIMO)
characteristic, existing constraints and the fast dynamics.
Optimization-based control methods are used for process
control in this dissertation. These are based on a
mathematical model of the process to be controlled, which is
used for real-time optimization of the manipulated
variables. This allows non-linearities and MIMO systems to
be controlled and constraints to be taken into account
directly. A linear time-variant model predictive controller
is developed for the control of the natural gas diesel
dual-fuel engine. The concept is based on the control of
cycle-integral variables and a data-driven combustion model.
Experimental validation on the engine test bench shows that
the control concept is capable of stabilizing transient
operating conditions. Direct combustion rate shaping control
is implemented for the diesel engine in order to control the
crank angle-resolved pressure or combustion rate profile to
a specified target profile using a fully variable multiple
injection strategy. From a control system point of view,
quasi-continuous manipulated and controlled variables are
used. To solve this control problem, a non-linear iterative
learning model predictive controller is developed, which
specifically utilizes the cyclic process characteristics.
For this purpose, a physically motivated model with low
complexity is designed, which is structurally suitable for
real-time optimization. The control concept is successfully
validated in both simulation and experiment.},
cin = {416610},
ddc = {620},
cid = {$I:(DE-82)416610_20140620$},
pnm = {DFG project G:(GEPRIS)277012063 - FOR 2401:
Optimierungsbasierte Multiskalenregelung motorischer
Niedertemperatur-Brennverfahren (277012063) / BMWK 03SX375C
- Verbundprojekt: JB-X-Clean - Entwicklung eines neuen
DUAL-FUEL-Konzepts für sicheren, emissionsarmen und
flexiblen Binnen- und Küstenschiffsantrieb; Vorhaben:
Modellbasierte Regelung der Dual Fuel Verbrennung
(03SX375C)},
pid = {G:(GEPRIS)277012063 / G:(BMWK)03SX375C},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2025-03556},
url = {https://publications.rwth-aachen.de/record/1009590},
}
Gast ::