Air-management and fueling strategy for diesel engines from multi-layer control perspective

Paper i proceeding, 2019

This paper proposes a novel control design procedure for air management and fueling strategy (AMFS) of diesel engines in lights of a multi-layer control structure (MLCS). Furthermore, novel sufficient stability conditions in the form of linear matrix inequalities are derived (using slack variables to reduce the conservativeness) for grid-based linear parameter-varying systems. The gain-scheduled controller for AMFS is designed to track a reference torque
trajectory requested by higher control layers from MLCS, with the objective of minimizing diesel consumption and pollutants' emissions. For controller design a reduced order grid-based linear parameter-varying model is obtained from the detailed benchmark model published by Eriksson et al. (2016). The controller is validated on the benchmark model using the road profile Söderälje-Norrköping.