• DocumentCode
    2273845
  • Title

    Fuzzy logic for vehicle climate control

  • Author

    Davis, L.I., Jr. ; Sieja, T.F. ; Matteson, R.W. ; Dage, G.A. ; Ames, R.

  • Author_Institution
    Ford Motor Co., Dearborn, MI, USA
  • fYear
    1994
  • fDate
    26-29 Jun 1994
  • Firstpage
    530
  • Abstract
    Typical automobile automatic climate control systems use linear proportional control to maintain a comfortable interior environment. In the process of refining these systems, we have found two significant limitations of linear proportional control when viewed from the standpoint of an occupant´s subjective comfort: 1) there are certain control situations in any HVAC (Heating, Ventilation, and Air Conditioning) system that are inherently nonlinear; and 2) it is not possible to realize occupant comfort merely by maintaining proximity to a desired temperature. In this paper, we describe a fuzzy logic control system which addresses these limitations by including rules that provide nonlinear compensation, and by allowing the control to be expressed in the same heuristic terms that an occupant would use in describing the level of comfort
  • Keywords
    HVAC; air conditioning; automobiles; compensation; fuzzy control; fuzzy logic; temperature control; HVAC system; air conditioning; automobile; comfort level; fuzzy logic control; nonlinear compensation; temperature control; vehicle climate control; Automatic control; Automobiles; Control systems; Fuzzy logic; Heating; Nonlinear control systems; Proportional control; Temperature control; Vehicles; Ventilation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1896-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1994.343729
  • Filename
    343729