Modelling of selective catalytic reduction systems using discrete-time Linear Parameter Varying models
Paper in proceedings, 2014
In this work, a Linear Parameter Varying (LPV) model of the Selective Catalytic
Reduction (SCR) system, used for NOx
reduction placed as after-treatment systems in diesel
engines is developed. The LPV model structure is formed utilising the physical properties of the
system yielding only 7 unknown parameters for a third order model structure of the SCR, which
is a significant reduction in number of parameters in comparison with other nonlinear models
used in this paper. The states of the model however, do not possess any physical interpretation.
The LPV model structure is validated using real measured data from cell tests at Scania AB
with promising results. The proposed model is compared to previous global nonlinear models of
the system, i.e. a nonlinear state space model and a Hammerstein-Wiener model of the system.
Linear parameter varying systems
selective catalytic reduction systems