DocumentCode
1944339
Title
Plant error analysis and compensation in adaptive cruise control systems
Author
Meadows, A.D. ; Lingxi Li ; Yaobin Chen ; Widmann, G.
Author_Institution
Dept. of Electr. & Comput. Eng., Indiana Univ.-Purdue Univ. Indianapolis (IUPUI), Indianapolis, IN, USA
fYear
2012
fDate
16-19 Sept. 2012
Firstpage
438
Lastpage
443
Abstract
The parameters of an adaptable cruise control system may change considerably during the course of operation. The addition of passengers, the increased friction as parts wear and the reduction in mass as fuel is consumed all provided changes to the load of the system. These variations and many others may be modeled as a non-perfect plant, called an uncertain or corrupted plant. In initial control analysis, the adaptive cruise control systems are assumed to have a perfect plant; that is to say, the plant always behaves as commanded. Plant corruption may come from a variation in performance through use or misuse, or from noise or imperfections in the sensor signal data. A model for plant corruption is applied and methods for analysis and compensation are explored. To facilitate analysis, system identification has been employed to produce a reduced-order model.
Keywords
adaptive control; error analysis; error compensation; friction; fuel economy; reduced order systems; road vehicles; sensors; signal processing; wear; adaptive cruise control systems; control analysis; corrupted plant; friction; nonperfect plant; part wear; plant corruption; plant corruption model; plant error analysis; plant error compensation; reduced-order model; sensor signal data; system identification; system load; uncertain plant; Acceleration; Adaptation models; Argon; Error Analysis; Error Compensation; Plant Error;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
Conference_Location
Anchorage, AK
ISSN
2153-0009
Print_ISBN
978-1-4673-3064-0
Electronic_ISBN
2153-0009
Type
conf
DOI
10.1109/ITSC.2012.6338875
Filename
6338875
Link To Document