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Incipient sensor fault estimation and accommodation for inverter devices in electric railway traction systems

机译:电气牵引系统中逆变器设备的初始传感器故障估计和适应

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摘要

This paper proposes an incipient sensor fault estimation and accommodation method for three-phase PWM inverter devices in electric railway traction systems. First, the dynamics of inverters and incipient voltage sensor faults are modelled. Then, for the augmented system formed by original inverter system and incipient sensor faults, an optimal adaptive unknown input observer is proposed to estimate the inverter voltages, currents and the incipient sensor faults. The designed observer guarantees that the estimation errors converge to the minimal invariant ellipsoid. Moreover, based on the output regulator via internal model principle, the fault accommodation controller is proposed to ensure that the vod and voq voltages track the desired reference voltages with the tracking error converging to the minimal invariant ellipsoid. Finally, simulations based on the traction system in CRH2 (China Railway High-speed) are presented to verify the effectiveness of the proposed method.
机译:提出了一种电力牵引系统三相PWM逆变器的传感器初值估计与适应方法。首先,对逆变器的动态特性和初始电压传感器故障进行了建模。然后,针对由原始逆变器系统和初始传感器故障形成的增强系统,提出了一种最优的自适应未知输入观测器,以估计逆变器的电压,电流和初始传感器故障。设计的观察器保证了估计误差收敛于最小不变椭圆体。此外,基于通过内部模型原理的输出调节器,提出了故障适应控制器,以确保vod和voq电压跟踪所需的参考电压,并且跟踪误差收敛到最小不变椭圆形。最后,基于CRH2(中国铁路高速)的牵引系统进行了仿真,以验证该方法的有效性。

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