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Advanced and Intelligent Computations in Diagnosis and Control pp 119–129Cite as

Adaptive Actuator Fault Estimation for DC Servo Motor

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 386))

Abstract

The paper present the problem of robust adaptive actuator fault estimation for linear discrete-time systems. The main part of this paper presents problem of design a robust observer that will be able to estimate state vector of the system, actuator fault and decoupling the effect of an unknown input. For that purpose, the structure for robust observer was proposed. The first part of the paper deals with the design of observer. The observer is designed in such a way that a prescribed attenuation level is achieved with respect to the fault estimation error and state estimation error. The subsequent part of the paper deals with laboratory system of DC servo motor that will be used in experiment. The final part of the paper shows the experimental results for DC servo motor system, which confirm the effectiveness of the proposed approach.

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References

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Acknowledgments

The authors would like to express their sincere gratitude to the referees, whose constructive comments contributed significantly toward the current shape of the paper. The work was supported by the National Science Center of Poland under grant no. 2013/11/B/ST7/01110.

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Authors and Affiliations

  1. Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246, Zielona Góra, Poland

    Mariusz Buciakowski & Marcin Witczak

Authors
  1. Mariusz Buciakowski
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  2. Marcin Witczak
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Corresponding author

Correspondence to Mariusz Buciakowski .

Editor information

Editors and Affiliations

  1. Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland

    Zdzisław Kowalczuk

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Buciakowski, M., Witczak, M. (2016). Adaptive Actuator Fault Estimation for DC Servo Motor. In: Kowalczuk, Z. (eds) Advanced and Intelligent Computations in Diagnosis and Control. Advances in Intelligent Systems and Computing, vol 386. Springer, Cham. https://doi.org/10.1007/978-3-319-23180-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-23180-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23179-2

  • Online ISBN: 978-3-319-23180-8

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