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Sensor Fault Diagnosis and Unknown Disturbances Estimation of High Switching Frequency Single-phase PWM Rectifier
International Journal of Control, Automation and Systems ( IF 2.5 ) Pub Date : 2021-06-16 , DOI: 10.1007/s12555-020-0334-8
Habib Ullah Khan Jadoon , Deqing Huang , Na Qin , Zifeng Gong

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.



中文翻译:

高开关频率单相PWM整流器的传感器故障诊断和未知干扰估计

故障和扰动估计在现代牵引铁路系统中具有重要作用。本文提出了一种独特的方法,用于实时鲁棒传感器故障检测和高开关频率单相脉宽调制 (PWM) 整流器的未知有界干扰估计。新型状态观测器专为单相PWM整流器的开路传感器故障而设计。数字实现方法用于在有故障和无外部干扰的情况下最小化观测器波动。故障诊断方法基于基于观察器和估计器的关于残差生成的阈值建立。H 降低了不确定性的影响,提高了故障估计的收敛速度和精度性能水平。大量的模拟被实施以验证所提出算法的有效性。从所呈现的结果中,说明了所提出方法的性能以及故障隔离和干扰估计器。

更新日期:2021-06-17
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