Nonlinear model predictive control for idle speed control of SI engine

The idle speed control is one of the most generic and basic automotive control problems. In this paper, the engine idle speed control problem comes down to optimization problem with input and state constraints. The controller based the quasi-infinite horizon nonlinear model predictive control (NMPC) methodology is designed to regulate the engine speed as close as possible to a reference value. The simulation results show that the controller can improve the dynamic performance of system and good control effect can be obtained as well as satisfying the system constraints.