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 very difficult to create a
mathematical 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 smart 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. The RFID technology is the main element of this process. The
factory-material communication is provided via RFID technology. Thus, factories
can communicate with the material that is produced without any human
intervention. The development of the 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 very important
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 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.
Primary Language | English |
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Journal Section | Articles |
Authors | |
Publication Date | January 31, 2019 |
Submission Date | February 19, 2018 |
Published in Issue | Year 2019 Volume: 11 Issue: 1 |
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