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Research of Networked Control System Based on Fuzzy Immune PID Controller

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Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7003))

Abstract

Networked control system has been a hotspot in the research fields of control theory and control engineering application at home and abroad. The simulation platform of real-time networked control system can be built by connecting the modules in TrueTime toolbox and the common modules in Simulink. Biological immune system has the properties of strong robustness and adaptability in the environment with lots of disturbance and uncertainty. The networked control system based on fuzzy immune PID controller is combined with immunological mechanism of biological, fuzzy logic and conventional PID controller. Through the simulation studies of changing parameters and increasing time delay show that the control method designed in this paper can get better control effectiveness with a better ability of robustness, adaptability and anti-interference.

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References

  1. Chen, B., Meng, C.M., Ge, B., et al.: Simulation Research on Networked Control System Based on Truetime. Control Engineering of China 15(5), 501–503 (2008)

    Google Scholar 

  2. Sun, J.M., Deng, W., Li, L.P., et al.: Matlab based Simulation Platform for Networked Control System. Process Automation Instrumentation 31(3), 19–22 (2010)

    Google Scholar 

  3. Peng, D.G., Zhang, H., Huang, C.H., et al.: Study of Immune PID Networked Control System Based on TrueTime. Journal of Network 6(6), 912–915 (2011)

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  4. Yin, Y., Li, S.F., Wang, J.H.: Research on Adaptive Fuzzy PID Control Method For Networked Control Systems. Journal of Wuhan University of Technology 32(6), 144–148 (2010)

    Google Scholar 

  5. Fei, C.G., Li, C.G., Zhang, Q.Z., et al.: Simulation of Adaptive DMC Algorithm in Networked Control Systems. Journal of System Simulation 20(1), 65–67 (2008)

    Google Scholar 

  6. Dang, X.D., Zhang, Q.L.: Stability and PID control for networked control system. In: Proceedings of the 8th World Congress on Intelligent Control and Automation, Jinan, China, July 6-9, pp. 921–926 (2010)

    Google Scholar 

  7. Zhao, Y.B., Liu, G.P., Rees, D.: Integrated predictive control and scheduling co-design for networked control systems. IET Control Theory Appl. 2(1), 7–15 (2008)

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© 2011 Springer-Verlag Berlin Heidelberg

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Peng, D., Zhang, H., Lin, J., Li, S. (2011). Research of Networked Control System Based on Fuzzy Immune PID Controller. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_18

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  • DOI: https://doi.org/10.1007/978-3-642-23887-1_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23886-4

  • Online ISBN: 978-3-642-23887-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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