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Mixed model-based and signal-based approach for open-switches fault diagnostic in sensorless speed vector controlled induction motor drive using sliding mode observer

机译:基于滑模观测器的无传感器速度矢量控制感应电动机驱动器中基于模型和信号的混合方法用于开路开关故障诊断

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摘要

This study deals with a mixed model-based and signal-based approach for sensorless speed-controlled induction motor drive (IM) and insulated-gate bipolar transistors open-switch fault diagnosis. In comparison to the classical sensored drive systems, this structure presents particular characteristics in post-fault operation mode which can be taken into account for fault detection and identification process designing. Firstly, the fault effects analysis is achieved in the abc frame of the IM. Based on such analysis, a diagnostic algorithm, using the measured and estimated currents, is used to define the fault indices, which allow the detection of single open-switch, multiple open-switch and open-phase faults. The sensorless control algorithm used for rotor speed estimation, as well as the fault diagnostic algorithm, are all based on a first-order sliding mode observer. In addition to the simplicity and the fast fault detection, there are no-additional sensors or extra-hardware used by the proposed method. Experimental results, based on a dSPACE DS1104 controller board and a 3-kW induction machine, are shown to validate the proposed strategy.
机译:这项研究涉及基于模型和基于信号的混合方法,用于无传感器速度控制感应电动机驱动(IM)和绝缘栅双极型晶体管开路开关故障诊断。与传统的传感器驱动系统相比,该结构在故障后操作模式下具有特殊的特征,可以在进行故障检测和识别过程设计时将其考虑在内。首先,在IM的abc帧中进行故障影响分析。基于这样的分析,使用测量和估计的电流的诊断算法可以定义故障指标,从而可以检测单个断路,多个断路和断相故障。用于转子速度估算的无传感器控制算法以及故障诊断算法均基于一阶滑模观测器。除了简单和快速的故障检测外,该方法还没有使用其他传感器或额外的硬件。基于dSPACE DS1104控制器板和3 kW感应电机的实验结果表明,可以验证所提出的策略。

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