Al-Qadisiyah Journal for Engineering Sciences

Implementation of Intelligent Industrial Controller Based On Fuzzy Logic and PLC

Authors

Methaq Abdulameer Ali 1
Abbas Miry 2
Tariq Salman 2

1 Department of electrical engineering, Faculty of Engineering, University of Al-mustansiriyah, Basrah, Iraq

2 Department of electrical engineering, Faculty of Engineering, University of Al-mustansiriyah, Baghdad, Iraq

https://doi.org/10.30772/qjes.v13i1.626
Abstract
The Internet of Things (IoT) makes designing a smart management system is real and easy. The concept of smart management system guarantees a person to monitor, control and manage the system without any waste. Water is a key resource and its management is a major issue. The proposed method is IOT with the fuzzy controller based system for managing tank water level in Rumaila power plant from gas (in southern Iraq).  The existing system, designed with two electric motor pumps, supplies a storage tank with untreated water from the river for later use in (reverse Osmosis) R.O. This system is manual without efficient monitoring and control system. This paper includes two implemented control systems; the classic PID and Fuzzy logic with a comparison between them. Fuzzy control is simulated first using Matlab and then developed by Sugeno-based Fuzzy algorithm within the PLC (Programmable Logic Console) environment. The connection of PLC with OPC (Object Process Control) server used by the Modbus protocol while the sensors connected directly to Kayenne platform.  Using the OPC and MQTT, the IoT system is built up to publish and subscribe the data from PLC and cloud. Node MCU- ESP8266 is used by wireless communication to link the sensors with router.

Keywords

IoT
OPC Server
MQTT
PLC
Kayenne
Crossmark
Al-Qadisiyah Journal for Engineering Sciences
Volume 13, Issue 1
Winter 2020
Pages 55-60

  • Receive Date 19 June 2023

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