In this paper, a novel and non-invasive stator inter-turn short circuit (ITSC) online detection method is presented for an induction machine (IM), driven by a two-level voltage source inverter (2L-VSI) via finite control set model predictive control (FCS-MPC). The main idea of the proposed method is to utilize the controller itself as an observer: under the presence of a fault, the distribution of inverter switching states significantly deviates from the original balanced case. Therefore, by inspecting the inverter switching vectors, which are the outcomes of the FCS-MPC routine's online optimization procedure, a stator fault can be detected efficiently. It is observed that both the zero-vector allocation over the complex plane and the allocation among the active vectors are influenced by the presence of a stator short-circuit fault. The proposed fault detection strategy introduces little to no extra burden for processor and memory. Experimental results verify the proposed method, and inter-turn short circuits of two and three turns are confidently detected and located for a 500 W, two-pole IM.

中文翻译：

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用作观测器的模型预测控制器用于感应电动机的匝间短路检测

本文提出了一种新颖的，无创的定子匝间短路在线检测方法，用于感应电机（IM），该电机由两级电压源逆变器（2L-VSI）通过有限控制集驱动模型预测控制（FCS-MPC）。提出的方法的主要思想是利用控制器本身作为观察者：在出现故障的情况下，逆变器开关状态的分布明显偏离了原始的平衡情况。因此，通过检查作为FCS-MPC例程在线优化过程结果的逆变器开关矢量，可以有效地检测出定子故障。可以看到，定子平面故障的存在会影响复平面上的零矢量分配和有效矢量之间的分配。所提出的故障检测策略几乎不会或根本不会给处理器和内存带来额外负担。实验结果验证了该方法的正确性，并针对500 W，两极IM可靠地检测到并确定了两匝和三匝的匝间短路。