Open AccessFuzzy Logic Controlled Paddle Wheel Aerator
Author(s) -
Ertie Abana,
A. Lorenzo,
Krizel Angelie Argal,
Ian Kim Bacud,
Jeric D. Barcena,
Mervin Gabriel Anthony Berbano,
Khristian Russell Littaua,
Shawn Wayne Tiangco
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6246.118419
Subject(s) - aeration , microcontroller , fuzzy logic , paddle , process (computing) , computer science , voltage , process engineering , approximation error , environmental science , controller (irrigation) , power (physics) , control engineering , fuzzy control system , control theory (sociology) , engineering , control (management) , artificial intelligence , mechanical engineering , waste management , electrical engineering , computer hardware , algorithm , agronomy , physics , quantum mechanics , biology , operating system
Aeration, as an essential process in the aquaculture industry, has incorporated mechanical aerators especially paddle wheel which is dubbed as the most efficient type. However, an operation of such a device depends on traditional on/off mechanisms based on human intuitions when the need for aeration is necessary. In this paper, Mamdani Fuzzy Logic was integrated into automating the paddlewheel aerator to control and to ensure the correct level of dissolved oxygen in ponds. A microcontroller based on the received output from the dissolved oxygen sensor is capable of automatically controlling the impellers appropriate to the current environment condition. Series of testing was conducted to look at the accuracy of the sensing mechanism and a mean relative error of 1.32% was detected. The researchers compared theoretical and actual supply voltage for all possible dissolved oxygen readings and interpreted a 0.73% mean relative error. With the incorporation of Fuzzy Logic Controller, the system was able to maintain 6 parts per million in the test environment. The system can also reduce power consumption to 65.13% compared to traditional switching. The aerator developed in this study can be used in maintaining the dissolved oxygen in aquaculture farms without human intervention.