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
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;
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
DOI :
10.1109/ICMLC.2008.4620754