Investigation about On-line Adaptation of Model Predictive Control for Air Fuel Ratio Control in Transient State

Abstract

For a fuel economy of a gasoline engine, a precise control is required to optimize many operating parameter in transient state. The model predictive controller(MPC) is paid attention as an optimal controller design method. In case of the MPC was designed by means of a linear model about objective system, the control performances were deteriorated on account of parameter vary. However, an optimal control can be satisfied whenever the model parameter of the controller well coincided with those of the control target. This paper investigated about on-line adaptation of MPC using genetic algorithm for Air-Fuel-Ratio control in transient state.