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Iterative learning control for a class of parabolic system fault diagnosis

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Abstract

The paper focuses on the fault detection problem for a class of parabolic system. Main goal is to use iterative learning control algorithm to detect faults. Then, by constructing a novel control strategy depending on P-type learning law. In this way, the control strategy can ensure the convergence of fault error and residual signal with iterative number, the uniform convergence of the learning control algorithm is obtained from the sufficient conditions and the detail proof is given. Finally, the effectiveness of the proposed method is demonstrated by an example.

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Acknowledgments

The work was supported by the Hechi University Foundation (XJ2016ZD004) and was supported by the Projection of Environment Master Foundation (2017HJA001).

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Authors and Affiliations

  1. Aeronautics and Astronautics Engineering Institute, Air Force Engineering University, Xi’an, 710038, Shanxi, China

    Yinjun Zhang & Yinghui Li

  2. School of Physics and Electrical Engineering, Hechi University, Yizhou, 546300, Guangxi, China

    Yinjun Zhang & Jianhuan Su

Authors
  1. Yinjun Zhang
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  2. Yinghui Li
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  3. Jianhuan Su
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Correspondence to Yinjun Zhang or Yinghui Li.

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Zhang, Y., Li, Y. & Su, J. Iterative learning control for a class of parabolic system fault diagnosis. Cluster Comput 22 (Suppl 3), 6209–6217 (2019). https://doi.org/10.1007/s10586-018-1898-4

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  • DOI: https://doi.org/10.1007/s10586-018-1898-4

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