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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

Year 2019, Volume: 11 Issue: 1, 173 - 191, 31.01.2019
https://doi.org/10.29137/umagd.396400

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 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.

References

  • [1] Anand, M., Sarkar, S. and Rajendra, S. (2012). Application of Distributed Control System in automation of Process Industries, International Journal of Emerging Technology and Advanced Engineering, 2, 377-383.[2] Bai, Y., Zhuang, H.Q. and Roth, Z.S. (2005). Fuzzy logic control to suppress noises and coupling effects in a laser tracking system, IEEE Transactions on Control Systems Technology, 13, 113-121.[3] Bolton, W. (2006). Programmable logic controllers, in: Programmable Logic Controllers (Fourth Edition), pp. 1-16, Newnes, Oxford.[4] Chanak, P. and Banerjee, I. (2016). Fuzzy rule-based faulty node classification and management scheme for large scale wireless sensor networks, Expert Systems with Applications, 45, 307-321.[5] Choi, G.H., Choi, G.S. and Jang, J.H. (2009). A Framework for Wireless Sensor Network in Web-based Monitoring and Control of Indoor Air Quality (IAQ) in Subway Stations, 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT), 378-382.[6] Demirel, F. (2010). Su İletim Hatları Basınç Bilgilerinin Deneysel Bir Ortamda Kablosuz Sensör Ağ ile Toplanması, Master Thesis, Ege University.[7] Dumitru, I., Arghira, N., Fagarasan, I. and Iliescu, S. (2010). A fuzzy PLC control system for a servomechanism, IFAC Proceedings Volumes, 43, 69-74.[8] Faludi, R. (2010). Building Wireless Sensor Networks, O’Reilly Media, USA.[9] Kurtulan, S. (2010). PLC ile Endüstriyel Otomasyon, Birsen Yayınevi, İstanbul.[10] Kuvulmaz, J. (2002). Endüstriyel Prosesler İçin PID Tipi Bulanık Kontrolör Tasarım, Master Thesis, Marmara University.[11] Labrador M.A. and Wightman, P.M. (2009). Topology Control in Wireless Sensor Networks, Springer Netherlands.[12] Lee, C.K.H., Choy, K.L., Law, K.M.Y. and Ho, G.T.S. (2014). Application of intelligent data management in resource allocation for effective operation of manufacturing systems, Journal of Manufacturing Systems, 33, 412-422.[13] Lian, F.L., Moyne, J. and Tilbury, D., (2002). Network design consideration for distributed control systems, IEEE Transactions on Control Systems Technology, 10, 297-307.[14] Lin J. and Lian, R.J. (2010). Self-organizing fuzzy controller for injection molding machines, Journal of Process Control, 20, 585-595.[15] Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D. and Anderson, J. (2002).Wireless Sensor Networks for Habitat Monitoring, WSNA’02. [16] Morsi I. and El-Din, L.M. (2014). SCADA system for oil refinery control, Measurement, 47, 5-13.[17] Ozbek, G. (2014). Radio Frequency Identification (RFID) Systems Implementation on Defence Industry, Master Thesis, Selcuk University.[18] Ozek, A. and Sinecen, M. (2004). Klima Sistem Kontrolünün Bulanık Mantık ile Modellenmesi, Journal of Engineering Sciences (Mühendislik Bilimleri Dergisi), 10, 353-358.[19] Raffin, M. (2010). Wireless Webinar.[20] Raffin, M. (2016). Shopping Center Directs Visitors to Available Parking Using Banner Wireless, USA.[21] Siddique, N. (2013). Intelligent Control, Springer, Poland.[22] Singhala, P., Shah, D. and Patel, B. (2014). Temperature Control using Fuzzy Logic, International Journal of Instrumentation and Control Systems, 4, 1-10.[23] Soylu, T. (2012). Kablosuz Algılayıcı Ağların Uygulama Alanları ve Bir Algılayıcı Düğüm Tasarımı, Master Thesis, Trakya University.[24] Tiryaki E.A. and Kazan, R. (2007). Bulaşık Makinesinin Bulanık Mantık ile Modellenmesi, Mühendislik ve Makine, 48, 3-8.[25] Yazar, M. (2015). Kablosuz Sensör Ağları ile Yangın Uyarı Sistemi, Master Thesis, Yıldız Technical Univesity.[26] Yick, J., Mukherjee, B. and Ghosal, D. (2008). Wireless sensor network survey, Computer Networks, 52, 2292-2330.[27] Yılmaz, S. (2007). Bulanık Mantık ve Mühendislik Uygulamaları, KOÜ Yayınları.[28] Kılıç, A.B. (2015). RFID Yoklama Otomasyonu, Master Thesis, Kırıkkale University.[29] Üstündağ, A. (2008). Radyo Frekans Tanıma (RFID) Teknolojisinin Tedarik Zinciri Üzerindeki Etkileri, PhD Dissertation, İstanbul Technical University
Year 2019, Volume: 11 Issue: 1, 173 - 191, 31.01.2019
https://doi.org/10.29137/umagd.396400

Abstract

References

  • [1] Anand, M., Sarkar, S. and Rajendra, S. (2012). Application of Distributed Control System in automation of Process Industries, International Journal of Emerging Technology and Advanced Engineering, 2, 377-383.[2] Bai, Y., Zhuang, H.Q. and Roth, Z.S. (2005). Fuzzy logic control to suppress noises and coupling effects in a laser tracking system, IEEE Transactions on Control Systems Technology, 13, 113-121.[3] Bolton, W. (2006). Programmable logic controllers, in: Programmable Logic Controllers (Fourth Edition), pp. 1-16, Newnes, Oxford.[4] Chanak, P. and Banerjee, I. (2016). Fuzzy rule-based faulty node classification and management scheme for large scale wireless sensor networks, Expert Systems with Applications, 45, 307-321.[5] Choi, G.H., Choi, G.S. and Jang, J.H. (2009). A Framework for Wireless Sensor Network in Web-based Monitoring and Control of Indoor Air Quality (IAQ) in Subway Stations, 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT), 378-382.[6] Demirel, F. (2010). Su İletim Hatları Basınç Bilgilerinin Deneysel Bir Ortamda Kablosuz Sensör Ağ ile Toplanması, Master Thesis, Ege University.[7] Dumitru, I., Arghira, N., Fagarasan, I. and Iliescu, S. (2010). A fuzzy PLC control system for a servomechanism, IFAC Proceedings Volumes, 43, 69-74.[8] Faludi, R. (2010). Building Wireless Sensor Networks, O’Reilly Media, USA.[9] Kurtulan, S. (2010). PLC ile Endüstriyel Otomasyon, Birsen Yayınevi, İstanbul.[10] Kuvulmaz, J. (2002). Endüstriyel Prosesler İçin PID Tipi Bulanık Kontrolör Tasarım, Master Thesis, Marmara University.[11] Labrador M.A. and Wightman, P.M. (2009). Topology Control in Wireless Sensor Networks, Springer Netherlands.[12] Lee, C.K.H., Choy, K.L., Law, K.M.Y. and Ho, G.T.S. (2014). Application of intelligent data management in resource allocation for effective operation of manufacturing systems, Journal of Manufacturing Systems, 33, 412-422.[13] Lian, F.L., Moyne, J. and Tilbury, D., (2002). Network design consideration for distributed control systems, IEEE Transactions on Control Systems Technology, 10, 297-307.[14] Lin J. and Lian, R.J. (2010). Self-organizing fuzzy controller for injection molding machines, Journal of Process Control, 20, 585-595.[15] Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D. and Anderson, J. (2002).Wireless Sensor Networks for Habitat Monitoring, WSNA’02. [16] Morsi I. and El-Din, L.M. (2014). SCADA system for oil refinery control, Measurement, 47, 5-13.[17] Ozbek, G. (2014). Radio Frequency Identification (RFID) Systems Implementation on Defence Industry, Master Thesis, Selcuk University.[18] Ozek, A. and Sinecen, M. (2004). Klima Sistem Kontrolünün Bulanık Mantık ile Modellenmesi, Journal of Engineering Sciences (Mühendislik Bilimleri Dergisi), 10, 353-358.[19] Raffin, M. (2010). Wireless Webinar.[20] Raffin, M. (2016). Shopping Center Directs Visitors to Available Parking Using Banner Wireless, USA.[21] Siddique, N. (2013). Intelligent Control, Springer, Poland.[22] Singhala, P., Shah, D. and Patel, B. (2014). Temperature Control using Fuzzy Logic, International Journal of Instrumentation and Control Systems, 4, 1-10.[23] Soylu, T. (2012). Kablosuz Algılayıcı Ağların Uygulama Alanları ve Bir Algılayıcı Düğüm Tasarımı, Master Thesis, Trakya University.[24] Tiryaki E.A. and Kazan, R. (2007). Bulaşık Makinesinin Bulanık Mantık ile Modellenmesi, Mühendislik ve Makine, 48, 3-8.[25] Yazar, M. (2015). Kablosuz Sensör Ağları ile Yangın Uyarı Sistemi, Master Thesis, Yıldız Technical Univesity.[26] Yick, J., Mukherjee, B. and Ghosal, D. (2008). Wireless sensor network survey, Computer Networks, 52, 2292-2330.[27] Yılmaz, S. (2007). Bulanık Mantık ve Mühendislik Uygulamaları, KOÜ Yayınları.[28] Kılıç, A.B. (2015). RFID Yoklama Otomasyonu, Master Thesis, Kırıkkale University.[29] Üstündağ, A. (2008). Radyo Frekans Tanıma (RFID) Teknolojisinin Tedarik Zinciri Üzerindeki Etkileri, PhD Dissertation, İstanbul Technical University
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Details

Primary Language English
Journal Section Articles
Authors

Akif Durdu

Üzeyir İlbay Bozkurt This is me

Mehmet Celalettin Ergene This is me

Publication Date January 31, 2019
Submission Date February 19, 2018
Published in Issue Year 2019 Volume: 11 Issue: 1

Cite

APA Durdu, A., Bozkurt, Ü. İ., & Ergene, M. C. (2019). 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. International Journal of Engineering Research and Development, 11(1), 173-191. https://doi.org/10.29137/umagd.396400

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