Title :
A fuzzy logic controller for a splitter in a house cooling system
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA
Abstract :
Describes the design and implementation of a fuzzy logic controller for a splitter in a house cooling system. The fuzzy controller uses nine rules to determine the flow of cool air needed in different rooms depending on the temperature level and humidity level. The controller is implemented using FUZZLE 1.8, a rule based logic shell for generating fuzzy logic inference engines. The results indicate that fuzzy controllers can emulate the ability to reason and use approximate data to maintain the comfort level in a house
Keywords :
building management systems; cooling; fuzzy control; fuzzy logic; humidity control; inference mechanisms; temperature control; FUZZLE 1.8; comfort level; cool air; fuzzy logic controller; fuzzy logic inference engines; house cooling system; humidity level; rule based logic shell; splitter; temperature level; Control systems; Cooling; Fuzzy control; Fuzzy logic; Fuzzy systems; Humidity control; Pi control; Proportional control; Temperature control; Temperature dependence;
Conference_Titel :
Southeastcon '94. Creative Technology Transfer - A Global Affair., Proceedings of the 1994 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
0-7803-1797-1
DOI :
10.1109/SECON.1994.324326
