Open AccessPH control for deep flow technique hydroponic IoT systems based on fuzzy logic controller
Author(s) -
Adnan Rafi Al Tahtawi,
Robi Kurniawan
Publication year - 2020
Publication title -
jurnal teknologi dan sistem komputer
Language(s) - English
Resource type - Journals
eISSN - 2620-4002
pISSN - 2338-0403
DOI - 10.14710/jtsiskom.2020.13822
Subject(s) - microcontroller , settling time , fuzzy logic , interface (matter) , computer science , peristaltic pump , controller (irrigation) , arduino , control system , fuzzy control system , point (geometry) , control theory (sociology) , real time computing , control engineering , control (management) , artificial intelligence , engineering , mathematics , embedded system , electrical engineering , operating system , mechanical engineering , agronomy , geometry , bubble , maximum bubble pressure method , biology , step response
In hydroponic cultivation sites, pH control is still carried manually by checking the pH level with a pH meter and providing a pH balancing liquid manually. This study aims to design an automatic pH control system in the Deep Flow Technique (DFT) hydroponic system that uses the Internet of Things (IoT) based Fuzzy Logic Controller (FLC). The SKU SEN0161 sensor detects the pH value as FLC inputs in an error value and its changes. These inputs are processed using Mamdani FLC embedded in the Arduino Mega 2560 microcontroller. The FLC produces an output in a pH liquid feeding duration using the peristaltic pump. The results showed that FLC could maintain the pH value according to the set point with a settling time of less than 50 seconds, both with disturbance by adding pH liquid and without disturbance. The pH value can also be displayed on the website interface system as a monitoring system.