Software tool for automatic dynamic modelling, system identification and state estimation of diesel engines oriented to PID controller designs

The software tool implements an automatic system approach to modeling the response of NOx emissions of a high-speed common-rail diesel engine to combined excitations in fuel quantity and timing is investigated. A multivariate dynamic model is proposed, identified and validated. The model structure is derived from existing physical model available in the literature, whose parameters are automatically identified using the principle of the gray box approach. This model structure is linearized and its parameters are then identified at selected engine operating points. Observers and controllers are derived for the physically based model and it is shown that torque and NOx can be automatically predicted using existing measurements of manifold pressure and mass air flow.