A Fourier series generalized geometry based analytical model of switched reluctance machines

A novel invertible generalized flux/current switched reluctance machine (SRM) model based on the Fourier series expansion is presented. This model, derived from machine geometry and materials properties, is accurate enough to be used for actual machine representation, and can also be simplified for real time controller applications. Simulation and experimental results illustrate that the proposed modeling approach provides better representation of the SRM than other existing techniques

[1]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[2]  Babak Fahimi,et al.  A new approach to model switched reluctance motor drive application to dynamic performance prediction, control and design , 1998, PESC 98 Record. 29th Annual IEEE Power Electronics Specialists Conference (Cat. No.98CH36196).

[3]  Iqbal Husain,et al.  Application of a sliding mode observer for switched reluctance motor drives , 1997, IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting.

[4]  A. Radun.  Analytically computing the flux linked by a switched reluctance motor phase when the stator and rotor poles overlap , 2000 .

[5]  M. Ehsani,et al.  Making the case for applications of switched reluctance motor technology in automotive products , 2006, IEEE Transactions on Power Electronics.

[6]  David A. Torrey,et al.  Analytical modelling of variable-reluctance machine magnetisation characteristics , 1995 .

[7]  Iqbal Husain,et al.  Application of a sliding-mode observer for position and speed estimation in switched reluctance motor drives , 2001 .

[8]  Iqbal Husain,et al.  A geometry based simplified analytical model of switched reluctance machines for real-time controller implementation , 2003 .

[9]  A. Radun,et al.  Analytical calculation of the switched reluctance motor's unaligned inductance , 1999 .

[10]  B. Fahimi,et al.  Modeling switched-reluctance Machines by decomposition of double magnetic saliencies , 2004, IEEE Transactions on Magnetics.

[11]  Ali Keyhani,et al.  Neural network-based modeling and parameter identification of switched reluctance motors , 2003 .

[12]  Mehrdad Ehsani,et al.  Inductance based position encoding for sensorless SRM drives , 1999, 30th Annual IEEE Power Electronics Specialists Conference. Record. (Cat. No.99CH36321).

[13]  S. Peresada,et al.  Feedback linearizing control of switched reluctance motors , 1987 .