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Kalman filter based fault diagnosis of networked control system with white noise

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Abstract

The networked control system NCS is regarded as a sampled control system with output time-variant delay. White noise is considered in the model construction of NCS. By using the Kalman filter theory to compute the filter parameters, a Kaiman filter is constructed for this NCS. By comparing the output of the filter and the practical system, a residual is generated to diagnose the sensor faults and the actuator faults. Finally, an example is given to show the feasibility of the approach.

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Authors and Affiliations

  1. Computer Aided Design Center, Huazhong University of Science and Technology, 430074, Wuhan Hubei, China

    Yanwei Wang

  2. Department of Control Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan Hubei, China

    Ying Zheng

Authors
  1. Yanwei Wang
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  2. Ying Zheng
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Wang, Y., Zheng, Y. Kalman filter based fault diagnosis of networked control system with white noise. J. Control Theory Appl. 3, 55–59 (2005). https://doi.org/10.1007/s11768-005-0061-y

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  • DOI: https://doi.org/10.1007/s11768-005-0061-y

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