This paper presents a fast and reliable fault diagnosis and fault-tolerant approach for grid current and dc-link voltages sensor faults in the single-phase cascaded H-bridge rectifiers (SPCHBR). Firstly, a state observer with the mixed logic dynamic (MLD) model is established for obtaining the observed sensor signals and system residuals. And then normalized residuals are generated to diagnose and isolate single or multiple sensor faults online by comparing different residuals with thresholds. Moreover, fault-tolerant control is realized by redesigning the observer gain and substituting the observed values for the measured values. The proposed approach can accomplish the accurate location of the faulty sensors and system reconfiguration within half of the current fundamental period. The effectiveness and availability of the proposed approach has been verified by MATLAB/Simulink.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sensor Fault Diagnosis and Fault-Tolerant Approach Based on State Observer for Single-Phase Cascaded H-Bridge Rectifiers


    Contributors:
    Xie, Dong (author) / Wang, Huimin (author) / Ge, Xinglai (author)


    Publication date :

    2019-05-01


    Size :

    681374 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Neuroadaptive Observer-Based Fault-Diagnosis and Fault-Tolerant Control for Quadrotor UAV

    Avila Okada, Kenji Fabiano / Silva de Morais, Aniel / Oliveira-Lopes, Luis Claudio et al. | IEEE | 2021


    Fault Diagnosis and Active Fault Tolerant Control for Near Space Vehicle Based on Adaptive Observer

    Xu, Y. / Jiang, B. / Ren, Z. et al. | British Library Conference Proceedings | 2010


    Fault diagnosis and system reconfiguration strategy of single-phase cascaded inverter

    Wang, Yi / He, Xiaoqiong / Han, Pengcheng et al. | IEEE | 2017


    Observer-Based Fault-Tolerant Attitude Control for Rigid Spacecraft

    Bo Li / Qinglei Hu / Yanbo Yu et al. | IEEE | 2017