This paper studies the fault diagnosis and fault-tolerant estimation problems of a rail traction system. The main idea is to use a bank of fuzzy observers to detect faults and to isolate failed sensors. Once the failed sensor is isolated, the fuzzy observer driven by healthy sensors provides reliable torque and flux estimates which are used for the control purpose. The concept and design procedures for fuzzy observers are presented in this paper. A fuzzy observer is able to produce accurate state estimations and generate robust residuals for nonlinear dynamic systems such as a rail traction system. The fault diagnosis and fault-tolerant estimation scheme proposed for the rail traction system is demonstrated using simulations.


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    Title :

    Fault diagnosis and fault-tolerant estimation of a rail traction system via fuzzy observers


    Additional title:

    Fehlerdiagnose und fehlertolerante Bewertung eines Eisenbahn-Traktionssystems mit Fuzzy-Beobachtern


    Contributors:


    Publication date :

    1999


    Size :

    7 Seiten, 9 Bilder, 18 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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