Measurement and Real-Time Modeling of Inductance and Flux Linkage in Switched Reluctance Motors

被引：33
|
作者：
Ustun, O. [1 ]
机构：
[1] Abant Izzet Baysal Univ, Fac Engn & Architecture, Dept Elect & Elect Engn, TR-14280 Bolu, Turkey
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2009年 / 45卷 / 12期
关键词：
Artificial neural networks; digital signal processors; inductance and flux linkage measurement; real-time modeling; switched reluctance motors; CONTROLLER; SPLINE; DRIVE;
D O I：
10.1109/TMAG.2009.2026897
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a real-time model to identify the inductance and the flux linkage of switched reluctance motors (SRMs). A dynamic measurement method is used for the real-time modeling. An artificial neural network (ANN), designed in accordance with the inductance and the flux linkage data obtained from the dynamic measurement method, is used to make the real-time model. Experimental studies are realized to prove the applicability of the dynamic measurement method and the ANN-based model. The experiments are performed by using a TMS320F2812 digital signal processor (DSP). The results show that the dynamic measurement method and the ANN-based model ensure real values in all the positions and load conditions of the motor.
引用
收藏
页码：5376 / 5382
页数：7
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