Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Observer-Based Robust Fault Diagnosis and Reconfigurable Adaptive Control for Systems with Unknown Inputs

미지입력을 포함한 시스템의 관측기 기반 견실고장진단 및 재구성 적응제어

  • 최재원 (부산대학교 기계공학 및 기계기술연구소) ;
  • 이승우 (부산대학교 기계공학부 대학원) ;
  • 서영수 (울산대학교 전기전자정보시스템공학부)
  • Published : 2002.11.01
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Abstract

A natural way to cope with fault tolerant control (FTC) problems is to modify the control parameters according to an online identification of the system parameters when a fault occurs. However. due to not only difficulties Inherent to the online multivariable identification in closed-loop systems, such as modeling errors, noise or the lack of excitation signals, but also long time requirement to identify the post-fault system and implemeutation of control problems during the identification process, we propose an alternative approach based on the observer-based fault detection and isolation (FDI) and model reference adaptive control (MRAC). The proposed robust fault diagnosis method is based on a bank of observers. We also propose a model reference adaptive control with changeable reference models according to the occurred faults. Simulation results of a flight control example show the validity and applicability of the proposed algorithms.

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References

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