• 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