TY - GEN
T1 - Model predictive control of Homogeneous Charge Compression Ignition (HCCI) engine dynamics
AU - Bengtsson, Johan
AU - Strandh, Petter
AU - Johansson, Rolf
AU - Tunestål, Per
AU - Johansson, Bengt
PY - 2007
Y1 - 2007
N2 - The Homogeneous Charge Compression Ignition (HCCI) combustion principle lacks direct ignition timing control, instead the auto-ignition depends on the operating condition and fast combustion phasing control is necessary for reliable operation. A six-cylinder heavy-duty HCCI engine was controlled on a cycle-to-cycle basis in real time using a variety of sensors, actuators and control structures for control of the HCCI combustion in comparison. Combustion phasing control based on ion current was compared to feedback control based on cylinder pressure. Two actuators were compared, dual fuel and Variable Valve Actuation (VVA). Model-based control synthesis requiring dynamic models of low complexity and HCCI combustion models were estimated by system identification and by physical modeling. The models identified by system identification were used to design model-predictive control (MPC) with several desirable features and today applicable to relatively fast systems. Both control of the combustion phasing and control of load-torque with simultaneous minimization of the fuel consumption and emissions were included.
AB - The Homogeneous Charge Compression Ignition (HCCI) combustion principle lacks direct ignition timing control, instead the auto-ignition depends on the operating condition and fast combustion phasing control is necessary for reliable operation. A six-cylinder heavy-duty HCCI engine was controlled on a cycle-to-cycle basis in real time using a variety of sensors, actuators and control structures for control of the HCCI combustion in comparison. Combustion phasing control based on ion current was compared to feedback control based on cylinder pressure. Two actuators were compared, dual fuel and Variable Valve Actuation (VVA). Model-based control synthesis requiring dynamic models of low complexity and HCCI combustion models were estimated by system identification and by physical modeling. The models identified by system identification were used to design model-predictive control (MPC) with several desirable features and today applicable to relatively fast systems. Both control of the combustion phasing and control of load-torque with simultaneous minimization of the fuel consumption and emissions were included.
UR - http://www.scopus.com/inward/record.url?scp=43049156088&partnerID=8YFLogxK
U2 - 10.1109/CCA.2006.286106
DO - 10.1109/CCA.2006.286106
M3 - Conference contribution
AN - SCOPUS:43049156088
SN - 0780397959
SN - 9780780397958
T3 - Proceedings of the IEEE International Conference on Control Applications
SP - 1675
EP - 1680
BT - Proceedings of the 2006 IEEE International Conference on Control Applications
T2 - Joint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC)
Y2 - 4 October 2006 through 6 October 2006
ER -