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A Model-Based Predictive Attempt to Control Boost Pressure and EGR- Rate in a Heavy-Duty Diesel Engine
Published April 19, 2004 by University of Salerno in Italy
This paper introduces a model-based predictive attempt for simultaneous control of boost pressure and EGR rate for a heavy-duty diesel engine. The basic linear controller structure is extended with a gain scheduling approach to consider the non-linearities of the engine process. A mainly automated application procedure has been developed. This work is part of the project ATECS (Advanced Truck Engine Control System), founded by the European Community. In the course of the project non-linear simulation models of two truck diesel engines have been designed in Matlab/Simulink® by the Institute of Automatic Control (IRT) of the Aachen University (RWTH) in cooperation with the Institute of Combustion Engines (VKA) of the Aachen University (RWTH). The control strategy has been tested in the simulation and has been implemented in cooperation with the VKA and the FEV on the test bench engine.
- Andreas Pfeifer - FEV Engine Motorentechnik GmbH
- Joachim Rückert - Aachen University of Technology
- Felix Richert - Aachen University of Technology
- Axel SchloBer - Aachen University of Technology
- Dirk Abel - Aachen University of Technology
- Olaf Herrmann - Aachen University of Technology
- Stefan Pischinger - Aachen University of Technology