SavedAdd your journal

Journals / Turkish Journal of Electrical Engineering and Computer Science / 2013 / Cilt: 21 - Sayı: 1

Control in networked systems with fuzzy logic

Akhan AKBULUT
Oğuzhan ÖZTAŞ
Pages
225–233
Publication Date
2013-01-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The structure of the overall system is designed with these optimization strategies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Recently, the development of control systems based on network-based architecture is getting very high attention.
📊
Key Findings & Data:The optimization is categorized into 2 main structures: software optimization and hardware optimization.
💡
Conclusion & Impact:The structure of the overall system is designed with these optimization strategies.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Key words: Networked control systems · data packet · sensor

Abstract

Recently, the development of control systems based on network-based architecture is getting very high attention. Because of its fast data communication, network-based control is in high demand. However, there are some disadvantages, such as delays, data packet dropouts, and communication constraints. Network-based control systems are getting attention in the development of this architecture because of these disadvantages. Optimization of the system is supplied to improve the existing structure. The optimization is categorized into 2 main structures: software optimization and hardware optimization. The structure of the overall system is designed with these optimization strategies. A hierarchical and communicational structure has emerged as a result of constructing the overall structure. After the optimization and design processes, the emerged system is simulated to implement and test the structure. Sensors and actuators are implemented as programs in different computers. Controllers are set into different computers and an observer program is set into another computer to observe the overall system. The components of the system are set in a sequential structure and give the expected performance due to their environment.

Özet

Recently, the development of control systems based on network-based architecture is getting very high attention. Because of its fast data communication, network-based control is in high demand. However, there are some disadvantages, such as delays, data packet dropouts, and communication constraints. Network-based control systems are getting attention in the development of this architecture because of these disadvantages. Optimization of the system is supplied to improve the existing structure. The optimization is categorized into 2 main structures: software optimization and hardware optimization. The structure of the overall system is designed with these optimization strategies. A hierarchical and communicational structure has emerged as a result of constructing the overall structure. After the optimization and design processes, the emerged system is simulated to implement and test the structure. Sensors and actuators are implemented as programs in different computers. Controllers are set into different computers and an observer program is set into another computer to observe the overall system. The components of the system are set in a sequential structure and give the expected performance due to their environment.

🔖

Cite This Article

AKBULUT, A., ÖZTAŞ, O. (2013). Control in networked systems with fuzzy logic. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 21 - Sayı: 1, 225–233. https://ajindex.com/articles/188662

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (8)

  1. J. Baillieul, P.J. Antsaklis, “Control and communication challenges in networked real-time systems”, Proceedings of the IEEE, Vol. 95, pp. 9–28, 2007.
  2. L. Wei, D. Xue, D. E, “Some basic issues in networked control systems”, 2nd IEEE Conference on Industrial Electronics and Applications, pp. 2098–2102, 2007. G. Kaplan, “Ethernet’s winning ways”, IEEE Spectrum, Vol. 38, pp. 113–115, 2001.
  3. V.K. Kongezos, C.R. Allen, “Wireless communication between A.G.V.’s (Autonomous Guided Vehicle) and the industrial network C.A.N (Controller Area Network)”, Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 1, pp. 434–437, 2002.
  4. Y. Zhang, Q. Zhong, L. Wei, “Stability of networked control systems with communication constraints”, Chinese Control and Decision Conference, pp. 335–339, 2008.
  5. G. Yoon, D.H. Kwon, S.C. Kwon, Y.O. Park, Y.J. Lee, “Ring topology-based redundancy Ethernet for industrial network”, SICE-ICASE International Joint Conference, pp. 1404–1407, 2006. S. D’Amours, P. Lefran¸ cois, B. Montreuil, “Design of an information system for a networked industry”, Proceedings of the International Conference on Engineering and Technology Management, pp. 128–133, 1996.
  6. Y.F. Lan, Y.K. Liu, “Fuzzy production planning problem with credibility service level constraints”, 3rd International Conference on Innovative Computing Information and Control, p. 261, 2008.
  7. F. Fummi, S. Martini, M. Monguzzi, G. Perbellini, M. Poncino, “Software/network co-simulation of heterogeneous industrial networks architectures”, Proceedings of the IEEE International Conference on Computer Design, pp. 496–501, 2004.
  8. Z. Cucej, D. Gleich, M. Kaiser, P. Planinsic, “Industrial networks”, Proceedings of the 46th International Symposium Electronics in Marine, pp. 59–66, 2004.