Software Environment for Online Simulation of Switched Reluctance Machines

Simulations are widely used in the study of both electrical machines and drives. In the literature several simulation programs can be found, which can also be applied in the study of the switched reluctance motors (SRMs). The real-time simulation tool developed by the authors is a novel approach as it enables also online simulations. The control of the SRM can be performed from the computer’s keyboard (by energizing/un-energizing each coil from its corresponding key), from a built-in controller or from an external one, which can be connected via TCP/IP protocol. The program enables parameter changing and instantaneous value displaying during the simulations. The studied machine’s characteristics can be plotted real-time, or after finishing the simulations. All the obtained results can be saved in external files for future data processing. The software tool proved to be very useful both in checking the design of a SRM, but also in setting up and verifying its proper control strategy. The online simulation program can also be practical in teaching electrical machines and drives, and it can be extended to be used in remote laboratories, too.

[1]  V. Fedak,et al.  Survey of distance laboratories in power electronics , 2008, 2008 IEEE Power Electronics Specialists Conference.

[2]  J. H. Lang,et al.  Modelling a nonlinear variable-reluctance motor drive , 1990 .

[3]  Clark Aldrich,et al.  Learning Online with Games, Simulations, and Virtual Worlds: Strategies for Online Instruction , 2009 .

[4]  J. P. Lyons,et al.  A switched reluctance motor model with mutual coupling and multi-phase excitation , 1991 .

[5]  Timothy J. E. Miller,et al.  Switched Reluctance Motors and Their Control , 1993 .

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

[7]  Chee-Mun. Ong,et al.  Dynamic simulation of electric machinery : using MATLAB/SIMULINK , 1997 .

[8]  R. Krishnan,et al.  Switched reluctance motor drives : modeling, simulation, analysis, design, and applications , 2001 .

[9]  Mircea Ruba,et al.  Useful Software Tool For Simulating Switched Reluctance Motors , 2011, ECMS.

[10]  Liviu Somesan,et al.  Switched reluctance motor analytical models, comparative analysis , 2010, 2010 12th International Conference on Optimization of Electrical and Electronic Equipment.

[11]  Timothy J. E. Miller.  Electronic control of switched reluctance machines , 2001 .

[12]  Loránd Szabó,et al.  Modeling And Simulation Of Embryonic Hardware Structures Designed On FPGA-based Artificial Cell Network Topologies , 2009, ECMS.

[13]  Thomas A. Lipo,et al.  Simulation of a four phase switched reluctance motor including the effects of mutual coupling , 1989 .

[14]  Osamu Ichinokura,et al.  A new calculation model of switched reluctance motor for use on SPICE , 2001 .

[15]  W. Wu,et al.  Design optimization of switched reluctance motor by electromagnetic and thermal finite element analysis , 2003, Digest of INTERMAG 2003. International Magnetics Conference (Cat. No.03CH37401).

[16]  Charles Kozierok,et al.  The TCP/IP Guide: A Comprehensive, Illustrated Internet Protocols Reference , 2005 .

[17]  Wen Ding,et al.  A Fast Analytical Model for an Integrated Switched Reluctance Starter/Generator , 2010, IEEE Transactions on Energy Conversion.

[18]  Csaba Szász,et al.  Fault-tolerant embryonic network development for high reliability mechatronic applications , 2010 .

[19]  Oguz Ustun,et al.  A nonlinear full model of switched reluctance motor with artificial neural network , 2009 .

[20]  P. Bauer,et al.  Challenges and Advances in Simulation , 2005, 2005 IEEE 36th Power Electronics Specialists Conference.

[21]  Osamu Ichinokura,et al.  Analysis of dynamic characteristics of switched reluctance motor based on SPICE , 1998 .

[22]  I. Husain,et al.  A Fourier series generalized geometry based analytical model of switched reluctance machines , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[23]  Lorand Szabo,et al.  Fault tolerant switched reluctance machine for wind turbine blade pitch control , 2009, 2009 International Conference on Clean Electrical Power.

[24]  Osamu Ichinokura,et al.  SPICE simulation of SRM considering nonlinear magnetization characteristics , 2003 .

[25]  I. Husain,et al.  Direct and inverse analytical models of a switched reluctance motor , 2010, Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation.

[26]  Mircea Ruba,et al.  Using Co-Simulations In Fault Tolerant Machine's Study , 2009, ECMS.

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

[28]  Marco Cantù.  Mastering Borland Delphi 2005 , 2005 .

[29]  T. Lachman,et al.  Nonlinear modelling of switched reluctance motors using artificial intelligence techniques , 2004 .

[30]  Tore Undeland,et al.  Power Electronics: Converters, Applications and Design , 1989 .

[31]  Liang Deliang,et al.  Dynamic Model and Simulation for a 6/4 Switched Reluctance Machine System Assisted by Maxwell SPICE and Simplorer , 2007, 2007 International Conference on Mechatronics and Automation.

[32]  Venkata Dinavahi,et al.  Experimental validation of a geometrical nonlinear permeance network based real-time induction machine model , 2012, PES 2012.

[33]  F. Soares,et al.  Simulation of a 6/4 switched reluctance motor based on Matlab/Simulink environment , 2001 .