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

  • Turker, Cigdem Gundogan ;
  • Kuyumcu, Feriha Erfan
  • Received : 2014.11.25
  • Accepted : 2015.04.21
  • Published : 2015.09.01


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.


Artificial neural network;Rotor position estimation;Transverse flux machine


  1. H. Weh, “Transverse flux machines in drive and generator applications”, IEEE International Symposium on Electric Power Engineering, Stockholm, Sweden, 1998.
  2. G. Henneberger, M. Bork, “Development of a new transverse flux motor”, IEE Collegium on New Topologies for Permanent Magnet Machines, London, England, 18 June 1997
  3. R. Kruse, G. Pfaff, C. Pfeiffer, “Transverse flux reluctance motor for direct servo drive applications”, IEEE Industry Applications Conference, St. Louis, USA, 12-15 October 1998.
  4. C. Junghwan, D. Kang, J. Lee, et al., “Development of transverse flux linear motor with permanent-magnet excitation for direct drive applications”, IEEE Trans. on Magnetics, 41 (5), pp.1936-1939, 2005.
  5. Z. Rahman, “Evaluating radial, axial and transverse flux topologies for in wheel motors”, Power electronics in Transportation, Novi, USA, Oct. 2004.
  6. P. O. Rasmussen, "Transverse flux machine with Stator Made of E-shaped laminations", United States patent US7312549, 2007.
  7. P. P. Acarnley, R. J. Hill, C. W. Hooper, “Detection of rotor position in stepping and switched reluctance motors by monitoring of current waveforms”, IEEE Trans. Ind. Electron, IE 32, pp. 215-222, 1985.
  8. M. Ehsani, I. Husain, “Elimination of discrete position sensors and current in switched reluctance motor drives”, IEEE Trans. on Industry Applications, 28, pp. 128-135, 1992.
  9. S. R. Macmin, P. M. Szensny, W. J. Rzeson, et al., “Application of sensor integration techniques to switched reluctance motor drives”, IEEE Transactions on Industry Applications, 28 (6), pp. 1339-1344, 1992.
  10. A. Lumsdaine, J. H. Lang, M. J. Balas, “A state observer for variable reluctance motors: analysis and experiments”, Nineteenth Asilomar Conference on Circuits, Systems and Computers, Pacific Grove, USA, 6-8 November 1985.
  11. J. Wisnewski, “Pole position identification of permanent magnet axial flux motor using PIPCRRM sensorless method”, European Conf. On Power Electronics and Applications, Aalborg, Denmark, 2-5 September 2007.
  12. N. S. Islam, I. Husain, R. J. Veilette, “Design and performance analysis of sliding mode observers for sensorless operation of switched reluctance motors”, IEEE Trans. Cont. Syst. Technology, 11, pp. 383-389, 2003.
  13. A. D. Cheok, Z. Wong, “Fuzzy logic rotor position estimation based switched reluctance motor DSP drive with accuracy enhancement”, IEEE Transactions Power Electron, 20, pp. 908-921, 2005.
  14. E.Meşe, D. A. Torrey, “An Approach for sensorless position estimation for switched reluctance motors using artificial neural networks”, IEEE Trans. Power Electron, 17, pp. 66-75, 2002.
  15. C. Zhongsong, G. Baoming, T. Aribal, “Neural network based position sensorless control for transverse flux linear SRM”, Advances in Neural Network, Lecture Notes in Computer Science, 4493, pp. 73-79, 2007.
  16. P. O. Rasmussen, G. Runolfsson, T. A. Thorsdottir, et al., “E-core transverse flux machine with integrated fault detection system”, International Conference on Electrical Machines and Systems, Beijing, China, 2011.
  17. Y. H. Jeong, D. H. Kang, J. M. Kim, et al., “Design of transverse flux motor with permanent magnet shield”, IEEE International Symposium on Industrial Electronics, Busan, South Korea, 12-16 June 2001.
  18. W.M.Arshad, P. Thelin, T. Backstrom, et al., “Use of transverse-flux machines in a free-piston generator”, IEEE Trans. on Ind. Applications, 40 (4), pp. 1092-1100, 2004.
  19. C. Elmas, H. Selaya-De-La Parra, “Application of a full order extended Luenberger observer for a position sensorless operation of a switched reluctance motor drive”, IEEE Proc. Control Theory and Applications, 143, (5), pp. 401-408, 1996.
  20. Y. J. Zhan, C. C. Chan, K. T. Chau, “A Novel sliding mode observer for indirect position sensing of switched reluctance motor drives”, IEEE Transactions on Industrials Electronics, 46 (2), pp. 390-397, 1999.
  21. I. Kioskerides, C. Mademlis, “Optimal Efficiency Control of Switched Reluctance Generators”, IEEE Transactions on Power Electronics, 21(4), 2006.
  22. C. Gundogan Turker, F. Erfan Kuyumcu, “The Modelling of The E-Core Transverse Flux Machine Based on Neural Network”, International Review of Electrical Engineering, 5 (4), pp.1477-1487, 2010.