Open AccessIMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN CONTROLLING THE TEMPERATURE OF INDUSTRIAL PANEL
Author(s) -
Methaq A. Ali,
Abbas H. Miry,
Tariq M. Salman
Publication year - 2022
Publication title -
journal of engineering and sustainable development
Language(s) - English
Resource type - Journals
eISSN - 2520-0925
pISSN - 2520-0917
DOI - 10.31272/jeasd.25.1.8
Subject(s) - modbus , programmable logic controller , fieldbus , ethernet , fuzzy logic , arduino , control engineering , scada , pid controller , industrial ethernet , computer science , embedded system , fuzzy electronics , controller (irrigation) , engineering , control system , fuzzy control system , artificial intelligence , computer hardware , temperature control , adaptive neuro fuzzy inference system , operating system , software , electrical engineering , agronomy , biology
Artificial intelligence has been widely used in various applications such as health and safety, smart homes, greenhouses, and industrial application. It has been increasingly utilized in the industry owing to its benefits in terms of enhancing the overall performance of a given system. This study appeared from a real need in many local industries. In this paper, a prototype system has been implemented for artificial control on the temperature of the industrial panel. The paper includes two control systems executed; classical PID (Proportional Integral Derivative) and fuzzy logic with a comparison between them. Fuzzy control algorithm is developing based on Sugeno method inside PLC (Programmable Logic Controller). The connection of PLC with sensors is used by the Modbus protocol. Arduino UNO and Ethernet shield are used to connect the sensor to the router and then to PLC by Modbus.