Project Details
Projekt
Multiscale-control of the low-temperature combustion process GCAI
Applicant
Professor Dr.-Ing. Dirk Abel
Subject Area
Automation, Mechatronics, Control Systems, Intelligent Technical Systems, Robotics
Fluid Mechanics
Fluid Mechanics
Term
since 2016
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 277012063
State-of-the-art approaches for closed-loop control of the low temperature combustion process GCAI are based on cycle-to-cycle feedback control. However, these approaches allow only a stable operation in a very limited engine map. With cycle-to-cycle based control, only the dynamic effects and disturbances that occur on the same time scale can be controlled. The relevant physicochemical processes that determine the stability and emission characteristics of low temperature combustion and run on an inner-cyclic time-level, cannot be controlled. For this reason TP1 investigates multiscale control algorithms that account the smaller time scales. It is expected that with successful control on these critical time scales, the operating map will be significantly expanded while improving efficiency and reducing pollutant emissions. As part of the first funding period, a concrete concept for the multi-scale control approach was developed and implemented.In TP1, the control-oriented expansion of the multi-scale control with regard to load- and speedtransient operating scenarios is addressed. In order to take the engine speed explicitly into account, it is intended to expand the current models to include the effects of changing speed. For this purpose, new experiments are carried out on the engine test bench in cooperation with TP3 and the models are extended based on the analysed effects. In addition, the integration of the reaction kinetics, which was developed in the research unit, into the reduced-time models to improve prediction and the associated control quality will be investigated. In this regard, particularly model order reduction techniques will be examined.To tackle the significant process uncertainty, consideration of further disturbances in form ofphysically motivated disturbance models will be studied. In addition, robust control approaches will be investigated. While TP1 focuses on the corresponding system-specific problem formulation, in particular on the adequate description of the uncertainty, the developed algorithms will be expanded in TP2 to meet the high computational demands despite the increasing operations resulting from the robust approach.Finally, the developed control algorithms are validated on the engine test bed together with TP3. Decisive criteria are the covered operating map, in which stable operation can be realized while taking into account transient load and speed profiles as well as the potential for reducing emissions and increasing efficiency.
DFG Programme
Research Units
