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Application of the Networked Predictive Control in Servo Systems

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Abstract

The paper uses predictive control theory combined with a Kalman Filter to stabilize the Networked Control System. A networked servo motor system is set up and its mathematical model is identified for further simulation. The novel aspects of this paper are the system model, which is built with an Embedded MATLAB Function, and simulation and experiment are also based on the model. From the results of simulation and experiment, the networked predictive controller shows a good performance.

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Acknowledgements

The authors would like to thank the referees for their valuable and helpful comments which have improved the presentation.

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Authors and Affiliations

  1. School of Automation, Beijing Institute of Technology, Beijing, 100081, China

    Yuanqing Xia, Wen Xie, Xiaolei Bian & Senchun Chai

Authors
  1. Yuanqing Xia
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  2. Wen Xie
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  3. Xiaolei Bian
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  4. Senchun Chai
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Corresponding author

Correspondence to Yuanqing Xia.

Additional information

The work of Yuanqing Xia was supported by the National Basic Research Program of China (973 Program) (2012CB720000), the National Natural Science Foundation of China (61225015, 60974011), the Ph.D. Programs Foundation of Ministry of Education of China (20091101110023, 20111101110012), and Beijing Municipal Natural Science Foundation (4102053, 4101001).

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Xia, Y., Xie, W., Bian, X. et al. Application of the Networked Predictive Control in Servo Systems. Circuits Syst Signal Process 32, 1537–1549 (2013). https://doi.org/10.1007/s00034-012-9524-9

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  • DOI: https://doi.org/10.1007/s00034-012-9524-9

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