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Resistance dissymmetry localization method based on vector space decomposition approach for six-phase induction machines

机译:基于矢量空间分解方法的六相感应电动机电阻不对称定位方法

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Fault detection is a necessary requirement to exploit one of the most important multiphase drives advantages: the enhanced fault tolerance without additional hardware. Among open-circuit faults, those in power switches of voltage source converters (VSCs) are the most common ones. Nevertheless, in other cases a poor connection or incipient faults may cause an imbalance in the value of the stator resistances. In this case the phase is not open but this anomalous situation requires detection and eventual isolation. This phenomenon is usually called resistance dissymmetry and it leads to current imbalance that in turn reduces efficiency and produces overheating. Moreover, the variation of the machine parameter is an important issue in those control methods based on the machine model, as it is the case in model predictive control (MPC). For this reason, this work presents a resistance dissymmetry detection method based on the vector space decomposition (VSD), implemented together with a MPC-based six-phase induction motor drive. Simulation results are employed to validate the goodness of the proposed method.
机译:利用多相驱动器最重要的优势之一是故障检测是必不可少的要求:无需其他硬件即可提高容错能力。在开路故障中,电压源转换器(VSC)的电源开关中的故障最为常见。但是,在其他情况下,连接不良或初期故障可能会导致定子电阻值不平衡。在这种情况下,该阶段没有打开,但是这种异常情况需要进行检测并最终隔离。这种现象通常称为电阻不对称,会导致电流不平衡,进而降低效率并产生过热。此外,在基于机器模型的控制方法中,机器参数的变化也是一个重要问题,在模型预测控制(MPC)中就是这种情况。因此,这项工作提出了一种基于矢量空间分解(VSD)的电阻不对称检测方法,该方法与基于MPC的六相感应电动机驱动器一起实现。仿真结果验证了所提方法的优越性。

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