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Sensor Fault Diagnosis and Unknown Disturbances Estimation of High Switching Frequency Single-phase PWM Rectifier

Habib Ullah Khan Jadoon, Deqing Huang, Na Qin*, and Zifeng Gong
International Journal of Control, Automation, and Systems, vol. 19, no. 8, pp.2769-2783, 2021

Abstract : The fault and disturbances estimation has an important role in the modern traction railway system. This paper proposes a unique method for the real-time robust sensor fault detection and unknown bounded disturbances estimation of high switching frequency single-phase pulse width modulation (PWM) rectifier. The new state observer is designed for open-circuit sensors fault for single-phase PWM rectifier. The digital realization method is used to minimize the observer fluctuation in presence of fault with and without external disturbance. The fault diagnosis approach constitutes on threshold establishment with respect to residual generation based on observer and estimator. The impact of uncertainties is reduced and the convergence speed of fault estimation and accuracy is improved by H∞ performance level. The extensive simulations are implemented to validate the effectiveness of the proposed algorithm. From the presented results, the performance of the proposed method is illustrated along with the fault isolation and disturbance estimator.

Keyword : Disturbance estimation, state observer, H∞ analysis, sensor fault, single-phase PWM rectifier

 
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