Ramita Suteekarn, Martin Sackmann, Volker Brichzin, and Clemens Gühmann
system identification, glow plug, physically-based modelling, simulation optimization
A general multilayer model structure is proposed in this paper to capture the causal effect of the internal and external influences in a complex system with tolerances. Also present is the optimisation routine of the model structure to answer multiple objectives. The model development of the glow plug surface temperature in a combustion chamber is used as an example in combining a priori knowledge from a physically-based nominal model and a posteriori knowledge from the measurement data to develop a robust, accurate dynamic model suitable to be implemented in a glow control unit. The simulation model provides a feedback signal to a closed-loop temperature controller, which is a solution to eliminate the rigidity of the table-based regulation algorithm, to minimise the application effort, as well as to increase robustness against manufacturing tolerances. Implementations on the test bench and in the test vehicle show extremely accurate real-time temperature estimate and excellent control accuracy.
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