Haugeneder, Max (Johannes Keppler Universität), Meier, Florian (Johannes Kepler University Linz), Adelberger, Daniel (Johannes Kepler University Linz), del Re, Luigi (Johannes Kepler University)

Adaptive Nonlinear Model Predictive Control of an Engine Air Path

Scheduled for presentation during the Regular session "Engine control system" (MoBT1), Monday, August 23, 2021, 18:10−18:30, Room T1

6th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, August 23-25, 2021, Tokyo, Japan

This information is tentative and subject to change. Compiled on April 19, 2024

Abstract

It is well known that high performing control based on a nominal model may underperform when system parameters change e.g. due to wear. Adaptive controls are a well established way to tackle this problem, but their usage is not trivial, especially when they are used for complex nonlinear systems with constraints like the air path of a combustion engine. In particular, excitation can be insufficient for the update of a model with many parameters. Against this background, we extend and test an approach based on directional forgetting on a production engine, showing that this approach is viable for practical applications.