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This paper presents the results of a model predictive controller (MPC)development for diesel engine air-path regulation. The control objective is totrack the intake manifold pressure and exhaust gas recirculation (EGR) ratetargets by manipulating the EGR valve and variable geometry turbine (VGT) whilesatisfying state and control constraints. The MPC controller is designed andverified using a high-fidelity engine model in GT-Power. The controllerexploits a low-order rate-based linear parameter-varying (LPV) model forprediction which is identified from transient response data generated by theGT-Power model. It is shown that transient engine thermal dynamics influencethe airpath dynamics, specifically the intake manifold pressure response,however, MPC demonstrates robustness against inaccuracies in modeling thesethermal dynamics. In particular, we show that MPC can be successfullyimplemented using a rate-based prediction model with two inputs (EGR and VGTpositions) identified from data with steady-state wall temperature dynamics,however, closed-loop performance can be improved if a prediction model (i) isidentified from data with transient thermal dynamics, and (ii) has the fuelinjection rate as extra model input. Further, the MPC calibration processacross the engine operating range to achieve improved performance is addressed.As the MPC calibration is shown to be sensitive to the operating conditions, afast calibration process is proposed.

Development of a Model Predictive Airpath Controller for a Diesel Engine on a High-Fidelity Engine Model with Transient Thermal Dynamics