本論文針對永磁同步馬達的層間短路故障進行探討，提出一基於信號分析之在線偵測故障系統。其利用電機故障時，直軸電流與交軸電流產生二次諧波成分的特性，直接以信號處理的方式，得到故障指標，不須事先建立模型，使系統在操作於不同負載、轉速時，皆可在線偵測逐漸變劣的故障狀態。頻域分析具有良好的適應性，然而傳統的頻域分析仰賴傅立葉分析，需龐大的運算量，當又需要在線檢測時，常需額外的硬體設備支援。因此本文採用德州儀器數位信號處理器實現驅動架構與偵測法，僅使用交軸電流信號，透過數位帶通濾波器與信號處理運算，擷取且放大二次諧波特徵，且不需要額外的硬體設備與感測器，適用於體積狹小、低成本、低運算量之場合。本文選用的馬達為設計之應用於壓縮機，透過有限元素分析，並藉由ANSYS Twin Builder與硬體在線迴路進行磁電耦合驗證。

This thesis investigates the inter-turn short-circuit fault for PMSM, and the proposed scheme is online fault detection based on signal analysis. In fault condition, the motor causes second-order harmonic component in the q-axis current and d-axis current. Therefore, the detection system directly uses digital bandpass filter to enhance second-order harmonic component and obtain fault indicator value by using amplitude-tracking algorithm. Building model data in advance is no required in the entire control system which can gradually detect fault under conditions of different load and speed settings. Analyzing frequency domain has good adaptability in transient state, the method of calculation generally using fast Fourier transform (FFT). However, in FFT analysis method, the huge amount of computation is required, which may be not suitable for online detection and cost extra hardware equipment. In view of the foregoing, this paper proposes a simple online fault-detecting scheme, including driving algorithm and fault detecting algorithm. The entire system is implemented by using the TI TMS320F28379D and does not require additional hardware or sensor, which is suitable for low-cost and small-size applications. The proposed method is validated by experiments based on finite element analysis (FEA) and hardware in the loop (HIL).

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