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Design and Simulation of a Neural-PD Controller for Automatic Balancing of Rotor

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3972))

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Abstract

In this paper, the automatic balancing method is studied at constant speed or acceleration operation for rotor systems. The magnitude and phase of original imbalance is determined by the influence coefficient method through measurement of vibrations. In addition, a self-tuning neural-PD controller is designed to control the angular positions of correction masses for the automatic balancer. The equations of motion for a cylindrical rotor with radial imbalances are modeled to simulate two-plane balancing by means of axis-passed balancers. The dynamic responses before and after automatic balancing are investigated to justify the validity of the present method.

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References

  1. Goodman, P.T.: A Least-Squares Method for Computing Balance Corrections. ASME J. Eng. Ind. 86, 273–279 (1964)

    Google Scholar 

  2. Van de Vegte, J., Lake, R.T.: Balancing of Rotating Systems Operation. J. Sound Vib. 57, 225–235 (1978)

    Article  Google Scholar 

  3. Sperling, L., Ryzhik, B., Linz, C., Dukstein, H.: Simulation of Two-Plane Automatic Balancing of a Rigid Rotor. Math. Comput. Simul. 58, 351–365 (2002)

    Article  MATH  Google Scholar 

  4. Akhyar, S., Omatu, S.: Self-Tuning PID Control by Neural Networks. In: Proceeding of International Joint Conference on Neural Networks, pp. 2749–2752 (1993)

    Google Scholar 

  5. Omatu, S., Yoshioka, M.: Self-Tuning Neural-PID Control and Applications. In: IEEE International Conference on Systems, Man, and Cybernetics, Computational Cybernetics and Simulation, vol. 3, pp. 1985–1989 (1997)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Chung Yuan Christian University, Chung Li, 32023, Taiwan, R.O.C.

    Yuan Kang, Tsu-Wei Lin & Yeon-Pun Chang

  2. Department of Automatic Engineering, Tung Nan Institute of Technology, Taipei, 222, Taiwan, R.O.C.

    Ming-Hui Chu & Yea-Ping Wang

Authors
  1. Yuan Kang
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  2. Tsu-Wei Lin
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  3. Ming-Hui Chu
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  4. Yeon-Pun Chang
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  5. Yea-Ping Wang
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Kang, Y., Lin, TW., Chu, MH., Chang, YP., Wang, YP. (2006). Design and Simulation of a Neural-PD Controller for Automatic Balancing of Rotor. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_162

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  • DOI: https://doi.org/10.1007/11760023_162

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34437-7

  • Online ISBN: 978-3-540-34438-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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