Model Predictive Controller Utilized as an Observer for Inter-Turn Short Circuit Detection in Induction Motors

2020-12-01
Şahin, İlker
Keysan, Ozan
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 online optimization procedure of the FCS-MPC routine, 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.
Citation Formats
İ. Şahin and O. Keysan, “Model Predictive Controller Utilized as an Observer for Inter-Turn Short Circuit Detection in Induction Motors,” pp. 1–6, 2020, Accessed: 00, 2021. [Online]. Available: https://ieeexplore.ieee.org/document/9310277.