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TY  - THES
AU  - Bedei, Julian
TI  - Sichere Systemidentifikation und Regelung der ottomotorischen Selbstzündung durch maschinelles Lernen
PB  - Rheinisch-Westfälische Technische Hochschule Aachen
VL  - Dissertation
CY  - Aachen
M1  - RWTH-2025-07998
SP  - 1 Online-Ressource : Illustrationen
PY  - 2025
N1  - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University
N1  - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025
AB  - Climate change is one of the greatest global challenges. Despite the increasing electrification of the transportation sector, combustion engines remain significant worldwide. Enhancing their efficiency is essential for reducing greenhouse gas emissions. Homogeneous charge compression ignition (HCCI) offers the potential to improve efficiency while simultaneously reducing nitrogen oxide emissions (NOx) through low combustion temperatures. However, controlling HCCI is challenging due to non-linearities, stochastic, autoregressive characteristics and multiple input multiple output (MIMO) behavior. Since the combustion depends on the thermodynamic, chemical state of the mixture, minimizing state fluctuations through closed-loop control is necessary for process stabilization. In this work, to account for innercyclic fluctuations of the mixture state, in addition to a cyclic control scale, the potential of an additional innercyclic control loop is demonstrated. To achieve this, machine learning algorithms are employed, requiring large data sets generated through interaction with the real process to capture all cross-couplings between control and state variables. For safe exploration of the experimental space, a measurement algorithm is implemented to interact with the process on both time scales, enabling the identification of stochastic process limitations. The generated data is used to train artificial neural networks (KNN), which are integrated into the multiscale control through a real-time capable implementation. Thus, the benefits of the multiscale approach are demonstrated experimentally for the first time. Compared to a purely cyclic control, the standard deviation of the combustion phasing, which is a measure of combustion stability, is reduced by 19,7
LB  - PUB:(DE-HGF)11
DO  - DOI:10.18154/RWTH-2025-07998
UR  - https://publications.rwth-aachen.de/record/1018815
ER  -