In the aircraft flight control systems, a quick detection of the faults, that occur in actuators, control surfaces or sensors, is necessary. In this paper, sensor fault detection and reconfiguration is performed using Kalman filter by estimating the states of the plant and comparing them with respective measured values from the sensors. Sensor fault detection and reconfiguration is carried out using non-model-based fuzzy logic technique. Control surface fault detection and reconfiguration is carried out by identifying the elements of control distribution matrix using extended Kalman filter and fuzzy logic. In estimating the factor of effectiveness of the control surface using fuzzy logic, different implication methods such as Mamadani's minimum, Larsen's product, bounded product and drastic product have been used and a comparison is made.Defence Science Journal, 2010, 60(1), pp.76-86, DOI:http://dx.doi.org/10.14429/dsj.60.114


    Access

    Download


    Export, share and cite



    Title :

    Sensor/Control Surface Fault Detection and Reconfiguration using Fuzzy Logic


    Contributors:

    Publication date :

    2010-03-25


    Remarks:

    doi:10.14429/dsj.60.114
    Defence Science Journal; Vol 60 No 1: Mobile Intelligent Autonomous Systems; 76-86 ; 0976-464X ; 0011-748X



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629






    Structural fault detection using fuzzy logic

    Sawyer, J. / Rao, S. | AIAA | 1996


    Sensor/Control Surface Fault Diagnosis and Reconfiguration in Aircraft Control Systems

    Hajiyev, C. / Caliskan, F. / American Society of Civil Engineers | British Library Conference Proceedings | 2004


    Structural Fault Detection Using Fuzzy Logic

    Sawyer, J. / Rao, S. / AIAA | British Library Conference Proceedings | 1996