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Design of Fuzzy Inference System for Autonomous Air Conditioner

Published on October 2015 by Komal B. Uplenchwar, and V. R. Ingle
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International Conference on Advancements in Engineering and Technology (ICAET 2015)
Foundation of Computer Science USA
ICQUEST2015 - Number 1
October 2015
Authors: Komal B. Uplenchwar, and V. R. Ingle
696e0523-31d3-4340-bc66-acc5f1dc36cf

Komal B. Uplenchwar, and V. R. Ingle . Design of Fuzzy Inference System for Autonomous Air Conditioner. International Conference on Advancements in Engineering and Technology (ICAET 2015). ICQUEST2015, 1 (October 2015), 25-28.

@article{
author = { Komal B. Uplenchwar, and V. R. Ingle },
title = { Design of Fuzzy Inference System for Autonomous Air Conditioner },
journal = { International Conference on Advancements in Engineering and Technology (ICAET 2015) },
issue_date = { October 2015 },
volume = { ICQUEST2015 },
number = { 1 },
month = { October },
year = { 2015 },
issn = 0975-8887,
pages = { 25-28 },
numpages = 4,
url = { /proceedings/icquest2015/number1/22981-2782/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology (ICAET 2015)
%A Komal B. Uplenchwar
%A and V. R. Ingle
%T Design of Fuzzy Inference System for Autonomous Air Conditioner
%J International Conference on Advancements in Engineering and Technology (ICAET 2015)
%@ 0975-8887
%V ICQUEST2015
%N 1
%P 25-28
%D 2015
%I International Journal of Computer Applications
Abstract

Design of an autonomous air conditioner using fuzzy rule based system is proposed in this literature. An air conditioning system, presently involves frequent starting and stopping of the compressor for desired temperature. However,thedesired temperature in the room is depends on number of factors such as occupancy,change in temperature and humidity of the environment throughout the day. Therefore, intelligent system using multiple sensors is proposed which measures theuser temperature, temperature difference, occupancy and humidity inside the room. These inputparameters are then used tocontrol three parameters listed as compressor speed, fan speed and fin direction which involved in decision making. Data driven neuro-fuzzy system is employed to get the crisp values of different controlling parameters.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multiple Regression Linguistic Variables Fuzzy Inference System Fuzzy Logic Controller.