Rotor Position Estimation Strategy Using Artificial Neural Network for a Novel Design Transverse Flux Machine

被引：1
|
作者：
Turker, Cigdem Gundogan [1 ]
Kuyumcu, Feriha Erfan [1 ]
机构：
[1] Kocaeli Univ, Dept Elect & Elect Engn, Kocaeli, Turkey
来源：
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2015年 / 10卷 / 05期
关键词：
Artificial neural network; Rotor position estimation; Transverse flux machine; RELUCTANCE MOTOR-DRIVES; OBSERVER; SENSOR;
D O I：
10.5370/JEET.2015.10.5.2009
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：
The E-Core Transverse Flux Machine is a different design of transverse flux machines combined with reluctance principle. Determination of the rotor position is important for the movement of the ETFM by switching the phase currents in synchronism with the inductance regions of the stator windings. It is the first time that rotor position estimation based on Artificial Neural Network (ANN) is purposed to eliminate the position sensor for the ETFM. Simulation and experimental tests are demonstrated for the feasibility of the proposed estimation algorithm for the exercise bike application of the ETFM.
引用
收藏
页码：2009 / 2017
页数：9
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