Model predictive control based on observer for engine idle speed control

Idle speed control of engine is always one of the most important automotive control problems. And the closed-loop control using advanced control methodologies is well-suited for idle speed control problem. In this paper, a controller using linear model predictive control (MPC) methodology based on observer is designed to regulate the engine speed at a reference speed. The state variable with high measurement noise is estimated by Kalman filter in engine system. Therefore, the engine idle speed control comes down to optimization problem with input and state constraints. The simulation results show that the approach is an effective and promising for the engine idle speed control.