Development of a Model Predictive Airpath Controller for a Diesel Engine on a High-Fidelity Engine Model with Transient Thermal Dynamics
Jiadi Zhang, Mohammad Reza Amini, Ilya Kolmanovsky, Munechika, Tsutsumi, Hayato Nakada

TL;DR
This paper develops and verifies a model predictive controller for diesel engine air-path regulation using a high-fidelity model, demonstrating robustness to thermal dynamic inaccuracies and proposing a fast calibration method.
Contribution
It introduces a robust MPC design for diesel engine air-path control that accounts for transient thermal dynamics and proposes a rapid calibration procedure.
Findings
MPC effectively tracks pressure and EGR targets with thermal dynamics considered.
Robustness of MPC against thermal model inaccuracies demonstrated.
Calibration process sensitivity addressed with a fast method.
Abstract
This paper presents the results of a model predictive controller (MPC) development for diesel engine air-path regulation. The control objective is to track the intake manifold pressure and exhaust gas recirculation (EGR) rate targets by manipulating the EGR valve and variable geometry turbine (VGT) while satisfying state and control constraints. The MPC controller is designed and verified using a high-fidelity engine model in GT-Power. The controller exploits a low-order rate-based linear parameter-varying (LPV) model for prediction which is identified from transient response data generated by the GT-Power model. It is shown that transient engine thermal dynamics influence the airpath dynamics, specifically the intake manifold pressure response, however, MPC demonstrates robustness against inaccuracies in modeling these thermal dynamics. In particular, we show that MPC can be…
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Taxonomy
TopicsAdvanced Combustion Engine Technologies · Vehicle emissions and performance · Advanced Control Systems Optimization
