DocumentCode
2648491
Title
A receding horizon optimal control approach to active state and parameter estimation in automotive systems
Author
Kolmanovsky, Ilya V. ; Winstead, Vincent
Author_Institution
Powertrain Research and Advanced Engineering, Ford Motor Company, Dearborn, Michigan, USA
fYear
2006
fDate
4-6 Oct. 2006
Firstpage
2796
Lastpage
2801
Abstract
A receding horizon optimal control approach is proposed to control a system in such a way as to best estimate on-line its states and parameters, without significantly degrading tracking performance or violating pointwise-in-time constraints. Several automotive examples are considered to illustrate the potential of the approach. They include: vehicle mass and road grade estimation, engine wall-wetting parameter estimation, engine mapping, and estimation of the position and velocity of a moving vehicle from angle-only (passive) measurements by another vehicle.
Keywords
Automotive engineering; Control systems; Degradation; Engines; Optimal control; Parameter estimation; Position measurement; Road vehicles; State estimation; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location
Munich, Germany
Print_ISBN
0-7803-9797-5
Electronic_ISBN
0-7803-9797-5
Type
conf
DOI
10.1109/CACSD-CCA-ISIC.2006.4777081
Filename
4777081
Link To Document