Distributed Model Predictive Control of an Electrically Boosted Diesel Engine Air Path System

This paper presents a distributed control design for an electrically boosted air path system of a Diesel engine. The proposed design aims at improving the transient response of the engine during acceleration, namely by coordinating the E-Booster, the variable geometry turbocharger (VGT) and the exhaust gas recirculation (EGR) actuators to regulate the intake and exhaust manifold pressures and EGR fraction to specified set points. Distributed Model Predictive Control is applied for the control design, based on a control-oriented model of the air path system. In such control architecture, the E-Booster and the remaining air path system actuators are separated into two interconnected local controllers, achieving plug-and-play capability of the E-Booster as well as smooth mode transitions. The proposed distributed control scheme is then evaluated in simulation, and comparing with a corresponding centralized control design. Two case studies are considered for verification, consisting of a step torque demand at constant speed and a tip-in acceleration transient.

[1]  Alain Lefebvre,et al.  Transient response of a Turbocharged SI Engine with an electrical boost pressure supply , 2003 .

[2]  Anna G. Stefanopoulou,et al.  Comparison of High- and Low-Pressure Electric Supercharging of a HDD Engine: Steady State and Dynamic Air-Path Considerations , 2016 .

[3]  Guy Morris,et al.  Optimal Boost Control for an Electrical Supercharging Application , 2004 .

[4]  Stefan Hoffmann,et al.  48-V Diesel Hybrid Fun to Drive at Lowest CO2 , 2016, MTZ worldwide.

[5]  Elbert Hendricks,et al.  Modelling of the Intake Manifold Filling Dynamics , 1996 .

[6]  Panagiotis D. Christofides,et al.  Sequential and Iterative Architectures for Distributed Model Predictive Control of Nonlinear Process Systems , 2010 .

[7]  James B. Rawlings,et al.  Postface to “ Model Predictive Control : Theory and Design ” , 2012 .

[8]  Mrdjan Jankovic,et al.  Constructive Lyapunov control design for turbocharged diesel engines , 2000, IEEE Trans. Control. Syst. Technol..

[9]  Dr. S. Münz,et al.  eBooster Design and performance of a innovative electrically driven charging system , 2004 .

[10]  Petru-Daniel Morosan,et al.  Building temperature regulation using a distributed model predictive control , 2010 .

[11]  A. H. Glattfelder,et al.  Model-based control of the VGT and EGR in a turbocharged common-rail diesel engine: Theory and passenger car implementation , 2003 .

[12]  Panagiotis D. Christofides,et al.  Distributed model predictive control: A tutorial review and future research directions , 2013, Comput. Chem. Eng..

[13]  J. M. Maestre,et al.  Distributed Model Predictive Control: An Overview and Roadmap of Future Research Opportunities , 2014, IEEE Control Systems.

[14]  Stephen J. Wright,et al.  Distributed MPC Strategies With Application to Power System Automatic Generation Control , 2008, IEEE Transactions on Control Systems Technology.

[15]  Bo Gao,et al.  Real-time simulation and control of an electric supercharger for engine downsizing , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[16]  Yuxing Liu,et al.  A Scalable Modeling Approach for the Simulation and Design Optimization of Automotive Turbochargers , 2015 .

[17]  Marcello Canova,et al.  Development and validation of a control-oriented library for the simulation of automotive engines , 2004 .

[18]  Yuxing Liu,et al.  Control of a two-stage turbocharged diesel engine air path system for mode transition via feedback linearization , 2016, 2016 American Control Conference (ACC).