A Separation Method of Rotor Flux Density Harmonics Based on DFT and Fine Analysis Rotor Iron Losses in Inverter-Fed Induction Motors

被引：0
|
作者：
Zhang D. [1 ]
Guo X. [2 ]
An R. [1 ]
Bu L. [1 ]
Li H. [3 ]
机构：
[1] School of Electrical Engineering, Xi'an Jiaotong University, Xi'an
[2] Electric Power Economic Research Institute of State Grid Henan Electric Power Company, Zhengzhou
[3] Shandong Electric Power T&T Engineering Company, Ji'nan
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2019年 / 34卷 / 01期
关键词：
Discrete fourier transforming; Harmonic fields; Induction motors; Iron losses; Rotor flux density;
D O I：
10.19595/j.cnki.1000-6753.tces.171559
中图分类号：
学科分类号：
摘要：
Effected by the harmonics from supply and induction motors, the distribution characteristics of iron losses, especially rotor iron losses, become more complicated in converter-fed induction motors. Accurate prediction and fine analysis of iron loss are very important at the design stage of high-efficiency inverter-fed induction motor. However, identification of rotor flux density harmonics is very difficult. This low-frequency signal contains dozens of power supply cycles simulation data, which causes discrete fourier transforming (DFT) cannot be directly used to computed the rotor flux density harmonics. In order to solve those problems, this paper first proposes a new method to identify rotor flux density harmonics using data from a single supply cycle; by using piecewise parameter iron loss model, the variation characteristics of rotor iron loss and the spatial distribution of hysteresis and eddy current losses in variable frequency induction motor are obtained under various operating conditions. The achievements provide important theoretical support for the design of high-efficiency inverter-fed induction motors. © 2019, Electrical Technology Press Co. Ltd. All right reserved.
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页码：75 / 83
页数：8
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