Title :
Adaptive Control of a Recompression Four-Cylinder HCCI Engine
Author :
Larimore, Jacob ; Jade, Shyam ; Hellstrom, Erik ; Li Jiang ; Stefanopoulou, Anna G.
Author_Institution :
Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
An adaptive controller is presented for the control of combustion phasing in a multicylinder homogeneous charge compression ignition engine. Adaptive parameter estimation is used to modify a model-based feedforward controller for each cylinder´s start of injection (SOI) timing in an effort to mitigate model errors and increase the feedforward control accuracy. In-cylinder pressure measurements are used to calculate combustion phasing, which is compared with the prediction of an online nonlinear engine model to drive the parameter estimation that adapts the feedforward controller. It is demonstrated through experiments that the adaptive parameter can reduce the parameterization effort by allowing the model to adapt and match the response of each cylinder. It is also shown that the adaptive feedforward control is more accurate in the sense that load transitions can be achieved with less correction from the feedback controller. Overall, an average reduction of 41% in the absolute value of the SOI feedback component at steady state is achieved.
Keywords :
adaptive control; engine cylinders; feedback; feedforward; internal combustion engines; nonlinear control systems; parameter estimation; pressure measurement; absolute value; adaptive feedforward control; adaptive parameter estimation; combustion phasing; combustion phasing control; cylinder SOI timing; cylinder start-of-injection timing; feedback controller; in-cylinder pressure measurement; load transitions; model error mitigation; model-based feedforward controller; multicylinder homogeneous charge compression ignition engine; online nonlinear engine model; recompression four-cylinder HCCI engine; Adaptation models; Adaptive control; Internal combustion engines; Linear feedback control systems; Nonlinear dynamical systems; Parameter estimation; Adaptive control; adaptive estimation; internal combustion engines; linear feedback control systems; nonlinear dynamical systems; power-train control; power-train control.;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2015.2402235