• DocumentCode
    2535148
  • Title

    Fault-tolerant estimation

  • Author

    Mutuel, Laurence H. ; Speyer, Jason L.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., California Univ., Los Angeles, CA, USA
  • Volume
    6
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3718
  • Abstract
    A fault-tolerant estimator is obtained from fusing the concept of fault detection with estimation. Two possible architectures are evaluated. At the center of the fault-tolerant estimation procedure is a bank of filters computing local state estimates, a residual screening scheme to isolate corrupted estimates and a method of blending untainted ones into a global minimum variance estimate, free of the effects of either sensor, plant or actuator fault. Previous voting schemes relied on statistical tests whereas the fault-tolerant estimation is based on a deterministic test on the local filter residuals. Finally, contrary to most fault-tolerant structures or multiple model approaches, estimating the fault is not necessary to ensure the quality of the global estimate
  • Keywords
    fault location; fault tolerance; filtering theory; state estimation; statistical analysis; corrupted estimate isolation; fault detection; fault-tolerant estimation; fault-tolerant structures; filters; global minimum variance estimate; local filter residuals; local state estimates; multiple model approaches; residual screening scheme; statistical tests; untainted estimate blending; voting schemes; Actuators; Fault detection; Fault diagnosis; Fault tolerance; Filtering theory; Filters; Riccati equations; State estimation; Testing; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2000. Proceedings of the 2000
  • Conference_Location
    Chicago, IL
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-5519-9
  • Type

    conf

  • DOI
    10.1109/ACC.2000.876914
  • Filename
    876914