IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN CONTROLLING THE TEMPERATURE OF INDUSTRIAL PANEL

Autor: Abbas H. Miry, Tariq M. Salman, Methaq A. Ali
Jazyk: arabština
Rok vydání: 2021
Předmět:
Zdroj: Journal of Engineering and Sustainable Development, Vol 25, Iss 01, Pp 92-99 (2021)
ISSN: 2520-0925
2520-0917
Popis: 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.
Databáze: OpenAIRE