Research Article
Integrated Water Level Control System Using Fuzzy Logic
@INPROCEEDINGS{10.4108/eai.20-1-2018.2281872, author={Akhmad Musafa and Riyanto Wibisono}, title={Integrated Water Level Control System Using Fuzzy Logic}, proceedings={Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia}, publisher={EAI}, proceedings_a={WMA-1}, year={2019}, month={9}, keywords={water level control water gate integrated fuzzy logic}, doi={10.4108/eai.20-1-2018.2281872} }- Akhmad Musafa
Riyanto Wibisono
Year: 2019
Integrated Water Level Control System Using Fuzzy Logic
WMA-1
EAI
DOI: 10.4108/eai.20-1-2018.2281872
Abstract
This paper presented the design of fuzzy logic control system to control water level on two water gates in an integrated manner. The system was designed on a prototype scale, which consists of a water gate and a control system part. The control system used two fuzzy logic controllers. The input of fuzzy logic controller was error signal and water level delta error, while the control output was the active time of the water gate motor (between 0-2 seconds) to adjust the opening size of the sluice gate. The quantities of inputs and outputs were grouped into five membership functions, with the defuzzification process using the Centre of Area (COA) method. The test results showed that the water level on the water gate 1 could reach a reference value of 10 cm with an initial level of 0 cm in 90 seconds, with the opening of the water gate 1 at 10% condition and the water gate 2 at 0% condition. For the water gate 2, the system response could reach the reference value within 340 seconds with the sluice gate of the water gate 2 up to 10% and the gate 1 reached 0%. The system could run on the water gate 1 and on the water gate 2, although there was a disturbance.
