Adaptive Analytical Model-Based Control for SI Engine Air–Fuel Ratio

摘要

An adaptive, state-space, model-predictive controller for spark ignition (SI) engine air–fuel ratio control is developed and presented in this brief. The linear model-based controller is an analytical controller that does not require online optimization. The model parameters for the predictive controller and the time-varying delay compensation are adapted based on the current measured engine speed and load. These process model parameters and time delays are identified from engine operating data. A Kalman filter is used to estimate the model and disturbance states of the system. The controller is demonstrated on a Ford 2-L I4 engine.