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A PID Parameters Tuning Algorithm Inspired by the Small World Phenomenon

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Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues (ICIC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5226))

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Abstract

Based on the small world phenomenon in social networks, a local search operator and a random long-range search operator with decimal-coding are proposed, then a decimal-coding small world optimization algorithm (DSWA) is explored, which validity and feasibility are testified by the simulation of PID parameters tuning. Compared with the corresponding genetic algorithm (GA) and particle swarm optimization algorithm (PSO), the simulation results indicate that DSWA can avoid trapping to local optimum in a certain extend, and it also can find high quality parameters for PID controller.

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References

  1. Cominos, P., Munro, N.: PID Controllers: Recent Tuning Methods and Design to Specification. IEEE Proceedings Control Theory and Applications 149, 46–53 (2002)

    Article  Google Scholar 

  2. Meng, X.Z., Song, B.Y.: Fast Genetic Algorithm Used for PID Parameter Optimization. In: IEEE Proceedings of International Conference on Automation and Logistics, pp. 2144–2148. IEEE Press, New York (2007)

    Chapter  Google Scholar 

  3. Ren, Z.W., San, Y., Chen, J.F.: Improved Particle Swarm Optimization and its Application Research in Tuning of PID Parameters. Journal of System Simulation 18, 2870–2873 (2006)

    Google Scholar 

  4. Watts, D.: Six Degrees: the Science of a Connected Age. W.W. Norton & Company, New York (2004)

    Google Scholar 

  5. Du, H.F., Zhuang, J., Zhang, J.H.: Small-world Phenomenon for Function Optimization. Journal of Xi’an Jiaotong University 39, 1011–1015 (2005)

    Google Scholar 

  6. Liu, J.K.: Advanced PID Control and MATLAB Simulation. Publishing House of Electronics Industry, Beijing (2003)

    Google Scholar 

  7. Kleinberg, J.M.: The Small-World Phenomenon and Decentralized Search. SIAM News 37, 1–2 (2004)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, 710049, Shaanxi Province, China

    Xiaohu Li, Jian Zhuang & Sunan Wang

  2. Center for Administration and Complexity Science, Xi’an Jiaotong University, Xi’an, 710049, Shaanxi Province, China

    Haifeng Du

Authors
  1. Xiaohu Li
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  2. Haifeng Du
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  3. Jian Zhuang
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  4. Sunan Wang
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Editor information

Editors and Affiliations

  1. Department of Automation, University of Science and Technology of China, 230026, Hefei, Anhui, China

    De-Shuang Huang

  2. Applied Computational Intelligence Laboratory, P.O. Box

    Donald C. Wunsch II

  3. Arlington, USA

    Daniel S. Levine

  4. Graduate School of Electrical Engineering, University of Ulsan, Korea, San 29, Mugeo-Dong, 680 - 749, Nam-Ku, Ulsan, Korea

    Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Li, X., Du, H., Zhuang, J., Wang, S. (2008). A PID Parameters Tuning Algorithm Inspired by the Small World Phenomenon. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_100

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  • DOI: https://doi.org/10.1007/978-3-540-87442-3_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87440-9

  • Online ISBN: 978-3-540-87442-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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