Design of a Distributed Control System With Fuzzy Logic Controller and Plc in Wireless Sensor Network Based Industrial Environments and Monitoring the System With Rfid

Abstract

Nowadays industrial applications are built on automatic control systems. The main reason is to convert these control systems and industrial factories into smart ones. By converting them to smart factories, a high-efficiency rate can be acquired. Generally, automatic control systems are controlled by classical logic via PLC (Programmable Logic Controllers). In this method, many problems can be met with. The most important one of these is that it is complicated to create a numerical control unit. Trying to control the system with the traditional way without creating a model can lead us to complicated algorithms. At the same time, complicated algorithms can cause wrong orientations in the system. However, the fuzzy logic, which is one of the intelligent control methods, can help us to create the system just with linguistic expressions and some rules without requiring a mathematical model. In this way with smart control methods, efficiency can be obtained in factories. Besides control systems, factories can be made smart. RFID technology is the central element of this process. The factorymaterial communication is provided via RFID technology. Thus, factories can communicate with the material that is produced without any human intervention. The development of smart factories and the rapid improvements in automation systems caused demands in wireless technology to rise. As a result of these demands, wireless sensor networks became a critical subject, and its use is widespread. These systems provide us to send the data in a certain distance without any loss of the data, also removes all the cables in the workplace. In this study, a control system, distributed in a wireless sensor network based industrial places, is controlled by a traditional PLC method and fuzzy logic. At the same time, the system is monitored by RFID and a solution is proposed to a smart factory application.