TY - GEN
T1 - Nonlinear predictive control of combustion and emissions in direct injection engines with nozzle aging
AU - Hofmann, Oliver
AU - Ponn, Thomas
AU - Buchmann, Robert
AU - Rixen, Daniel
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/30
Y1 - 2018/8/30
N2 - Current developments in emissions legislation mean that real driving emissions (RDE) are becoming increasingly important and make it worthwhile to examine longterm aging phenomena in direct injection engines. This paper proposes an advanced control framework to account for aging effects occurring in the injection nozzles and ensure consistent engine behavior over an extended operating time. Based on the previously identified aging condition, a nonlinear model predictive controller (NMPC) was designed to optimize future engine performance and emissions. The underlying model was derived from experimental data of a single-cylinder diesel engine, and the numerical effort was significantly reduced using a neural network approximation. Simulated experiments with the NMPC demonstrated the great potential in controlling exhaust emissions and improving long-term engine performance.
AB - Current developments in emissions legislation mean that real driving emissions (RDE) are becoming increasingly important and make it worthwhile to examine longterm aging phenomena in direct injection engines. This paper proposes an advanced control framework to account for aging effects occurring in the injection nozzles and ensure consistent engine behavior over an extended operating time. Based on the previously identified aging condition, a nonlinear model predictive controller (NMPC) was designed to optimize future engine performance and emissions. The underlying model was derived from experimental data of a single-cylinder diesel engine, and the numerical effort was significantly reduced using a neural network approximation. Simulated experiments with the NMPC demonstrated the great potential in controlling exhaust emissions and improving long-term engine performance.
UR - http://www.scopus.com/inward/record.url?scp=85053885175&partnerID=8YFLogxK
U2 - 10.1109/AIM.2018.8452324
DO - 10.1109/AIM.2018.8452324
M3 - Conference contribution
AN - SCOPUS:85053885175
SN - 9781538618547
T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
SP - 1420
EP - 1426
BT - AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018
Y2 - 9 July 2018 through 12 July 2018
ER -