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
Link To Document :
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