A Simplified Flux Linkage Characteristics Model of Switched Reluctance Machine

被引：0
作者：
Ahmad, S. S. [1 ]
Narayanan, G. [1 ]
机构：
[1] Indian Inst Sci, Dept Elect Engn, Bangalore 560012, Karnataka, India
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES) | 2016年
关键词：
Flux linkage; machine model; motor characteristics; switched reluctance machine; MAGNETIC CHARACTERISTICS; MOTOR;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Switched reluctance machine drive requires knowledge of flux linkage characteristics and its partial derivatives for high performance controller design and implementation. A mathematical model, which accurately describes the flux linkage characteristics as well as easily provides its partial derivatives, is proposed in this paper. The proposed model, even though accurate, has fewer parameters than the existing model. The model is validated through measured flux linkage characteristics, prediction of phase current under both single pulse and chopping operation, and estimation of partial derivative of flux linkage characteristics.
引用
收藏
页数：6
相关论文
共 20 条
[1]  
Ahmad S. S., 2016, IEEE INT C POW EL DR
[2]   Linearized Modeling of Switched Reluctance Motor for Closed-Loop Current Control [J].
Ahmad, Syed Shahjahan ;
Narayanan, G. .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2016, 52 (04) :3146-3158
[3]   Sensorless Operation of an Ultra-High-Speed Switched Reluctance Machine [J].
Bateman, Christopher J. ;
Mecrow, Barrie C. ;
Clothier, Andrew C. ;
Acarnley, Paul P. ;
Tuftnell, Nicholas D. .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2010, 46 (06) :2329-2337
[4]   Flux linkage determination for correct Modeling of switched reluctance - Machines dynamic measurement versus static computation [J].
Carstensen, Christian E. ;
Fuengwarodsakul, Nisai H. ;
De Doncker, Rik W. .
IEEE IEMDC 2007: PROCEEDINGS OF THE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, VOLS 1 AND 2, 2007, :1317-+
[5]   A New Analytical Model for Switched Reluctance Motors [J].
Chen, Hai-Jin ;
Jiang, Dong-Qing ;
Yang, Jun ;
Shi, Long-Xing .
IEEE TRANSACTIONS ON MAGNETICS, 2009, 45 (08) :3107-3113
[6]   Nonlinear modelling of switched reluctance motors using artificial intelligence techniques [J].
Lachman, T ;
Mohamad, TR ;
Fong, CH .
IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS, 2004, 151 (01) :53-60
[7]   Online modeling for switched reluctance motors using B-spline neural networks [J].
Lin, Zhengyu ;
Reay, Donald S. ;
Williams, Barry W. ;
He, Xiangning .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (06) :3317-3322
[8]  
Miller T.J.E., 2001, ELECT CONTROL SWITCH, DOI DOI 10.1016/B978-0-7506-5073-1.X5000-7
[9]   Optimal design of switched reluctance motors [J].
Miller, TJE .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2002, 49 (01) :15-27
[10]   Obtaining the magnetic characteristics of an 8/6 switched reluctance machine: From FEM analysis to the experimental tests [J].
Parreira, B ;
Rafael, S ;
Pires, AJ ;
Branco, PJC .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2005, 52 (06) :1635-1643
12