Model Predictive Control Based on Observer for Engine Idle Speed Control
TIdle 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.
Engine idle speed control Model predictive control Quadratic program Kalman filter
LI Shu LI Yanzhi HU Yunfeng DONG Xingwen
Air Force Aviation University, P. R. China Department of Control Science and Engineering, Jilin University, Changchun 130025, P. R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
4142-4147
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）