Title :
Customer-adaptive fuzzy logic control of home heating system
Author :
Altrock, C.V. ; Arend, H.-O. ; Krausse, B. ; Steffens, C.
Author_Institution :
Inform Software Corp., Evanston, IL, USA
Abstract :
To maximize both heating economy and comfort of a private home heating system, fuzzy logic control has been used by a German company in a new generation of furnace controllers. The fuzzy logic controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy logic controller and the conventional control system were implemented on a standard g-bit microcontroller. The design, optimization and implementation of the fuzzy controller was supported by the software development system fuzzyTECH
Keywords :
control engineering; control system CAD; furnaces; fuzzy control; microcontrollers; space heating; German company; customer-adaptive fuzzy logic control; furnace controllers; heating economy; home heating system; optimal adaptation; private home heating system; software development system fuzzyTECH; standard g-bit microcontroller; Control systems; Design optimization; Furnaces; Fuzzy control; Fuzzy logic; Heating; Microcontrollers; Optimal control; Temperature control; Thermal sensors;
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
DOI :
10.1109/FUZZY.1994.343569
