ROBUST MODEL PREDICTIVE CONTROL OF ENGINE IDLE SPEED WITH DISTRUBANCE OBSERVER

摘要：

In this paper, a linearization engine model at idle speed was developed according to the physical model and engine test map data. Based on this model, an integrated observer and Robust Model Predictive Control (MPC) controller design technique was proposed, which can improve the engine idle speed fuel economy, and guarantee that engine speed is not drop too much even when sudden load emerged. The stability and feasibility of MPC controller was also discussed in this paper. A commercial engine model is utilized to assess the performance of the controller. Simulation results on this model show us that the designed MPC controller can achieve desired performance.

关键词： Engine Model Idle Speed Observer Model Predictive Control Fuel Economy

作者: ZHI-HU WU SHANG LIU RUN PEI

作者单位: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China School of Mathematics and Computational Science, Changsha University of Science and Technology, Chan

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2109-2114

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）