The advance of observer-based fault diagnosis is outlined and the idea of fault class isolation (FCI) is introduced and studied. According to the requirements of some missile actuator test, a new scheme to implement FCI and fault estimation between motor and sensor is proposed based on unknown input observer (UIO), whose procedure completes in three steps. Firstly, the open loop model from motor to sensor is constructed and its parameters are estimated via least squares principle. Secondly, the design procedure of the UIO is deduced and elaborated, and two principles for FCI and fault estimation between motor and sensor are presented. Finally, wavelet filtered is introduced and studied so as to de-noise the estimated faults. Simulation demonstrated that the scheme could effectively isolate constant fault(s) as well as sudden fault(s) between motor and sensor while the fault(s) could be estimated precisely. The study indicates that the presented scheme is feasible and appropriate for actuator fault diagnosis.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Unknown Input Observer Based Fault Class Isolation and Estimation


    Contributors:
    Zhi, Wang (author)

    Published in:

    Publication date :

    2010


    Size :

    6 Seiten, 10 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Design of the robust unknown input fault isolation observer for automotive engines

    Shen, L.-C. / Hsu, P.-L. / International Federation of Automatic Control | British Library Conference Proceedings | 1997





    Robust Fault Estimation for Discrete-Time Multi-agent Systems with Unknown Input Observer

    Xu, Jiakai / Zhou, Meng | British Library Conference Proceedings | 2022