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Position error compensation of semi-closed loop servo system using support vector regression and fuzzy PID control

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Abstract

This paper discusses how to improve the position precision of a semi-closed loop servo system. A support vector regression algorithm is chosen to model and predict position error. The predicted error is then fed back to the input entry to compensate the error. Fuzzy PID control is introduced to adjust the controlling rule of the PID controller in the semi-closed loop servo system so as to improve the dynamic response characteristics of the servo system and reach a high degree of position precision. A case study is implemented. The simulation and experimental results show that combining the improved fuzzy control with predicted position error feedback ensures a high degree of position precision and a high degree of dynamic response characteristics.

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Authors and Affiliations

  1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    C. Deng & X. Y. Shao

  2. Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand

    S. Q. Xie

  3. School of Naval Architecture and Ocean Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China

    J. Wu

Authors
  1. C. Deng
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  2. S. Q. Xie
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  3. J. Wu
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  4. X. Y. Shao
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Correspondence to S. Q. Xie.

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Deng, C., Xie, S.Q., Wu, J. et al. Position error compensation of semi-closed loop servo system using support vector regression and fuzzy PID control. Int J Adv Manuf Technol 71, 887–898 (2014). https://doi.org/10.1007/s00170-013-5495-7

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  • DOI: https://doi.org/10.1007/s00170-013-5495-7

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