International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Adaptive Observer-based Fast Fault Estimation

  • Zhang, Ke (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics) ;
  • Jiang, Bin (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics) ;
  • Cocquempot, Vincent (University of Sciences and Technologies of Lille Villeneuve d'Ascq Cedex)
  • Published : 2008.06.30
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Abstract

This paper studies the problem of fault estimation using adaptive fault diagnosis observer. A fast adaptive fault estimation (FAFE) approximator is proposed to improve the rapidity of fault estimation. Then based on linear matrix inequality (LMI) technique, a feasible algorithm is explored to solve the designed parameters. Furthermore, an extension to sensor fault case is investigated. Finally, simulation results are presented to illustrate the efficiency of the proposed FAFE methodology.

Keywords

References

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