Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine
Liquid waste cannot be disposed of directly, so it must be processed so as not to cause pollution to the surrounding environment. Both BOD (Biological Oxygen Demand) and COD (Chemical Oxygen Demand) treatment, oxygen is also required so that the quality of the liquid waste is safe for the environmen...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Udayana
2022-02-01
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| Series: | Journal of Electrical, Electronics and Informatics |
| Online Access: | https://ojs.unud.ac.id/index.php/JEEI/article/view/79663 |
| _version_ | 1797369953904492544 |
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| author | I Made Mataram I Ketut Wijaya |
| author_facet | I Made Mataram I Ketut Wijaya |
| author_sort | I Made Mataram |
| collection | DOAJ |
| description | Liquid waste cannot be disposed of directly, so it must be processed so as not to cause pollution to the surrounding environment. Both BOD (Biological Oxygen Demand) and COD (Chemical Oxygen Demand) treatment, oxygen is also required so that the quality of the liquid waste is safe for the environment. Liquid waste treatment mostly utilizes aerators to produce high pressure air in liquid waste containing oxygen (O2). The problem that occurs in most wastewater treatment is the determination of the working time of the aerator, resulting in excessive use of electrical energy, but the results of the waste are still within unsafe limits. In general, the operating time of the aerator is manually, this causes the use of electrical energy to be wasteful. This research was conducted, how to develop a control system design for aerator operating time on the quality of liquid waste. The development of the control system used is Sugeno interval fuzzy logic type-2 with 2 (two) input types of Gauss membership function. The advantage of interval fuzzy logic type-2 over type-1 fuzzy logic is the ability to provide more accurate output for higher input uncertainty. The input variables used are waste volume and COD reduction, while the output is the aerator's operating time. The results obtained in the system design can be applied properly and in accordance with the setting point with an average aerator operating time of 6.8 hours and can reduce the use of electrical energy by 38.2%. |
| first_indexed | 2024-03-08T17:54:26Z |
| format | Article |
| id | doaj.art-91416681e2454a3d90a1cf6cb57f2518 |
| institution | Directory Open Access Journal |
| issn | 2549-8304 2622-0393 |
| language | English |
| last_indexed | 2024-03-08T17:54:26Z |
| publishDate | 2022-02-01 |
| publisher | Universitas Udayana |
| record_format | Article |
| series | Journal of Electrical, Electronics and Informatics |
| spelling | doaj.art-91416681e2454a3d90a1cf6cb57f25182024-01-02T05:53:24ZengUniversitas UdayanaJournal of Electrical, Electronics and Informatics2549-83042622-03932022-02-01616979663Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator MachineI Made Mataram0I Ketut Wijaya1Universitas UdayanaUdayana UniversityLiquid waste cannot be disposed of directly, so it must be processed so as not to cause pollution to the surrounding environment. Both BOD (Biological Oxygen Demand) and COD (Chemical Oxygen Demand) treatment, oxygen is also required so that the quality of the liquid waste is safe for the environment. Liquid waste treatment mostly utilizes aerators to produce high pressure air in liquid waste containing oxygen (O2). The problem that occurs in most wastewater treatment is the determination of the working time of the aerator, resulting in excessive use of electrical energy, but the results of the waste are still within unsafe limits. In general, the operating time of the aerator is manually, this causes the use of electrical energy to be wasteful. This research was conducted, how to develop a control system design for aerator operating time on the quality of liquid waste. The development of the control system used is Sugeno interval fuzzy logic type-2 with 2 (two) input types of Gauss membership function. The advantage of interval fuzzy logic type-2 over type-1 fuzzy logic is the ability to provide more accurate output for higher input uncertainty. The input variables used are waste volume and COD reduction, while the output is the aerator's operating time. The results obtained in the system design can be applied properly and in accordance with the setting point with an average aerator operating time of 6.8 hours and can reduce the use of electrical energy by 38.2%.https://ojs.unud.ac.id/index.php/JEEI/article/view/79663 |
| spellingShingle | I Made Mataram I Ketut Wijaya Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine Journal of Electrical, Electronics and Informatics |
| title | Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine |
| title_full | Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine |
| title_fullStr | Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine |
| title_full_unstemmed | Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine |
| title_short | Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine |
| title_sort | modelling fuzzy logic type 2 for liquid waste control of aerator machine |
| url | https://ojs.unud.ac.id/index.php/JEEI/article/view/79663 |
| work_keys_str_mv | AT imademataram modellingfuzzylogictype2forliquidwastecontrolofaeratormachine AT iketutwijaya modellingfuzzylogictype2forliquidwastecontrolofaeratormachine |