DocumentCode
476149
Title
Robust model predictive control of engine idle speed with distrubance observer
Author
Wu, Zhi-Hu ; Liu, Shang ; Pei, Run
Author_Institution
Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin
Volume
4
fYear
2008
fDate
12-15 July 2008
Firstpage
2109
Lastpage
2114
Abstract
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.
Keywords
control system synthesis; engines; fuel economy; observers; predictive control; robust control; velocity control; controller feasibility; controller stability; disturbance observer; engine idle speed control; fuel economy; linearization engine model; robust model predictive controller design; Fuel economy; Internal combustion engines; Machine learning; Manifolds; Mathematical model; Predictive control; Predictive models; Robust control; Vehicle dynamics; Velocity control; Engine Model; Fuel Economy; Idle Speed; Model Predictive Control; Observer;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620754
Filename
4620754
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