A Fuzzy Logic-Based Temperature Control System for Baby Incubators
A The purpose of a baby incubator is to help preterm infants whose bodies cannot adapt to their new surroundings by providing them with artificial heat. The goal of this research was to develop a method of applying fuzzy control in conjunction with the DS18B20 sensor for analyzing the response point...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Jurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes Surabaya
2023-11-01
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| Series: | Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics |
| Subjects: | |
| Online Access: | https://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/320 |
| _version_ | 1797266968097587200 |
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| author | Henrikus Pramudia Syaifudin Syaifudin Abd Kholiq Kamilu O. Lawal |
| author_facet | Henrikus Pramudia Syaifudin Syaifudin Abd Kholiq Kamilu O. Lawal |
| author_sort | Henrikus Pramudia |
| collection | DOAJ |
| description | A The purpose of a baby incubator is to help preterm infants whose bodies cannot adapt to their new surroundings by providing them with artificial heat. The goal of this research was to develop a method of applying fuzzy control in conjunction with the DS18B20 sensor for analyzing the response points involved in the construction of a baby incubator. For this experiment, researchers employed conditions of 32 ˚C, 35 ˚C, and 36 ˚C. The Incu analyzer is utilized as the industry standard reference instrument. Fuzzy control on a microcontroller involves a few steps, including fuzzification, which involves inputting the value of the membership function, where this member is a collection of error and feedback values, in this case 0.5; this member is then processed further in fuzzification, which involves transforming raw crisp calculations into membership values via the function membership. A rule base is a set of rules developed to achieve a goal by specifying the appropriate control action in response to a particular input value using linguistic rules. Defuzzification performs calculations of changing fuzzy quantities presented in the form of variable values from the rule base with output values to set an output value that we need in the system. This fuzzy system produces an average rise point of 200 seconds and an overshoot value in the range of +0.50 C. Stability can be achieved within 8 to 10 minutes. |
| first_indexed | 2024-04-25T01:09:07Z |
| format | Article |
| id | doaj.art-341cf9350837473dbca351aef7878d78 |
| institution | Directory Open Access Journal |
| issn | 2656-8624 |
| language | English |
| last_indexed | 2024-04-25T01:09:07Z |
| publishDate | 2023-11-01 |
| publisher | Jurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes Surabaya |
| record_format | Article |
| series | Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics |
| spelling | doaj.art-341cf9350837473dbca351aef7878d782024-03-10T10:28:58ZengJurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes SurabayaIndonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics2656-86242023-11-015423224210.35882/ijeeemi.v5i4.320320A Fuzzy Logic-Based Temperature Control System for Baby IncubatorsHenrikus Pramudia0Syaifudin Syaifudin1Abd Kholiq2Kamilu O. Lawal3Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, IndonesiaDepartment of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, IndonesiaDepartment of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, IndonesiaDepartment of Electrical and Electronics Engineering, Bauchi, Abubakar Tafawa Balewa University, NigeriaA The purpose of a baby incubator is to help preterm infants whose bodies cannot adapt to their new surroundings by providing them with artificial heat. The goal of this research was to develop a method of applying fuzzy control in conjunction with the DS18B20 sensor for analyzing the response points involved in the construction of a baby incubator. For this experiment, researchers employed conditions of 32 ˚C, 35 ˚C, and 36 ˚C. The Incu analyzer is utilized as the industry standard reference instrument. Fuzzy control on a microcontroller involves a few steps, including fuzzification, which involves inputting the value of the membership function, where this member is a collection of error and feedback values, in this case 0.5; this member is then processed further in fuzzification, which involves transforming raw crisp calculations into membership values via the function membership. A rule base is a set of rules developed to achieve a goal by specifying the appropriate control action in response to a particular input value using linguistic rules. Defuzzification performs calculations of changing fuzzy quantities presented in the form of variable values from the rule base with output values to set an output value that we need in the system. This fuzzy system produces an average rise point of 200 seconds and an overshoot value in the range of +0.50 C. Stability can be achieved within 8 to 10 minutes.https://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/320temperaturehumidityfuzzy logicincubator |
| spellingShingle | Henrikus Pramudia Syaifudin Syaifudin Abd Kholiq Kamilu O. Lawal A Fuzzy Logic-Based Temperature Control System for Baby Incubators Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics temperature humidity fuzzy logic incubator |
| title | A Fuzzy Logic-Based Temperature Control System for Baby Incubators |
| title_full | A Fuzzy Logic-Based Temperature Control System for Baby Incubators |
| title_fullStr | A Fuzzy Logic-Based Temperature Control System for Baby Incubators |
| title_full_unstemmed | A Fuzzy Logic-Based Temperature Control System for Baby Incubators |
| title_short | A Fuzzy Logic-Based Temperature Control System for Baby Incubators |
| title_sort | fuzzy logic based temperature control system for baby incubators |
| topic | temperature humidity fuzzy logic incubator |
| url | https://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/320 |
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