Fuzzy logic based fan controller of indoor air purifier fan

Indoor air purifier (IAP) has been developed by various companies worldwide to address indoor air pollution. The manufacturers of these air purifiers rarely concentrate in controlling the rotation speed of the fan which results in the use of traditional control techniques wherein some still relies o...

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Main Authors: Cusipag Abana, Ertie (Author), Jerson Palatan, Mark (Author), Paolo Pascual, Christian (Author), Mae Mateos, Chia (Author), Anne Galasinao, Sheree (Author)
Other Authors: University of Saint Louis (Contributor)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-03-01.
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Online Access:Get fulltext
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LEADER 02433 am a22003373u 4500
001 ijeecs19885_13506
042 |a dc 
100 1 0 |a Cusipag Abana, Ertie  |e author 
100 1 0 |a University of Saint Louis  |e contributor 
700 1 0 |a Jerson Palatan, Mark  |e author 
700 1 0 |a Paolo Pascual, Christian  |e author 
700 1 0 |a Mae Mateos, Chia  |e author 
700 1 0 |a Anne Galasinao, Sheree  |e author 
245 0 0 |a Fuzzy logic based fan controller of indoor air purifier fan 
260 |b Institute of Advanced Engineering and Science,   |c 2020-03-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19885 
520 |a Indoor air purifier (IAP) has been developed by various companies worldwide to address indoor air pollution. The manufacturers of these air purifiers rarely concentrate in controlling the rotation speed of the fan which results in the use of traditional control techniques wherein some still relies on human intervention. In this paper, Fuzzy Logic (FL) was applied to control the rotation speed of the fan of an indoor air purifier. The system automatically maintains a suitable fan speed based on the fuzzy values generated on the current environmental condition. The series of testing conducted using the system showed a very high accuracy in the interpretation of dust concentration to its equivalent Air Quality Index (AQI) levels of health concern. For each detected AQI, the system was able to regulate the voltage coming into a motor that controls the speed of the fan. The usage of the fuzzy logic fan controller in the indoor air purifier fan reduced the energy consumption by 41.67%. 
540 |a Copyright (c) 2019 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690 |a Electronics; Computer and Informatics 
690 |a Indoor air purifier, Fuzzy logic, Microcontrollers, Fan control 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 17, No 3: March 2020; 1266-1274 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v17.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19885/13506 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19885/13506  |z Get fulltext