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A Multiple Actuator and Sensor Fault Estimation for Dynamic Systems

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Advanced, Contemporary Control (PCC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 708))

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Abstract

The paper deals with the problem of simultaneous actuator and sensor fault estimation for linear dynamic systems on which influence unknown exogenous disturbances. The most common approach of dealing with fault estimation approach is that either actuator or sensor fault estimation schemes are provided in the literature. This paper proposes a kind of a fusion of those approaches which results with the capability of estimation of actuator and sensor faults which might appear in the system simultaneously. The novelty relies on that the unwelcome rate of change of the fault factor is vanished which simplifies the design problem. The methodology utilized in the paper to attain the robustness is the so-called Quadratic boundedness approach. In the final part of the paper, the illustrative example with the implementation to the laboratory Multi-Tank system is provided which shows the performance of the proposed approach.

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Authors and Affiliations

  1. Institute of Control and Computation Engineering, University of Zielona Góra, ul. Szafrana 2, 65-516, Zielona Góra, Poland

    Marcin Pazera, Marcin Witczak & Józef Korbicz

Authors
  1. Marcin Pazera
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  2. Marcin Witczak
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  3. Józef Korbicz
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Corresponding author

Correspondence to Marcin Pazera .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Marek Pawelczyk

  2. Silesian University of Technology, Gliwice, Poland

    Dariusz Bismor

  3. Silesian University of Technology, Gliwice, Poland

    Szymon Ogonowski

  4. Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Janusz Kacprzyk

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Pazera, M., Witczak, M., Korbicz, J. (2023). A Multiple Actuator and Sensor Fault Estimation for Dynamic Systems. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. https://doi.org/10.1007/978-3-031-35170-9_23

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