Open Access
Mechanics & Industry
Volume 16, Number 2, 2015
Article Number 204
Number of page(s) 8
Published online 22 January 2015
  1. X. Yu, M.W. Dunnigan, B.W. Williams, A novel rotor resistance identification method for an indirect rotor flux-Oriented controlled induction motor drive system, IEEE Trans. Power Electron. 17 (2005) 353–364 [Google Scholar]
  2. L.A. Zadeh, Fuzzy sets, Inform. Control 8 (1965) 338–353 [CrossRef] [Google Scholar]
  3. L.A. Zadeh, Fuzzy logic, IEEE Comput. Mag. 21 (1988) 83–92 [Google Scholar]
  4. R. Belohlavek, G.J. Klir, Concepts and fuzzy logic, Ph.D. dissertation, Massachusetts Institute of Technology, 2011 [Google Scholar]
  5. G.J. Klir, B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall, New Jersey, 1995 [Google Scholar]
  6. L.X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice-Hall, New Jersey, 1994 [Google Scholar]
  7. H. Kang, G. Vachtsevanos, Adaptive fuzzy logic control, IEEE International Conference on Fuzzy Systems, San Diego, CA, 1992, pp. 407–414 [Google Scholar]
  8. S. Sastry, M. Bodson, Adaptive Control: Stability, Convergence and Robustness, Dover Publications Inc, 2011 [Google Scholar]
  9. D.S. Reay, M.W. Dunnigan, Learning issues in model reference based fuzzy control, IEEE Proc. Control Theory Appl. 144 (1997) 605–611 [CrossRef] [Google Scholar]
  10. M. Russo, C.J. Lakhmi, Fuzzy Learning and Applications, CRC Press, 2001 [Google Scholar]
  11. M.J. Jacobs, Self-learning Artificial Neural Networks, Randse Afrikaanse Universiteit, 1993 [Google Scholar]
  12. E.M. Mamdani, S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, Int. J. Man-Machine Stud. 7 (1975) 1–13 [Google Scholar]
  13. A. Trzynadlowski, Control of Induction Motors, Academic Press, 2000 [Google Scholar]
  14. W. Leonhard, Control of Electrical Drives, 3nd edition, Springer, 2001 [Google Scholar]
  15. P.C. Krause, O. Wasynczuk, S.D. Sudhoff, Analysis of Electric Machinery and Drive Systems, Wiley Interscience, New york, 2002 [Google Scholar]
  16. B. Karanayil, M.F. Rahman, C. Grantham, Online stator and rotor resistance estimation scheme using artificial neural networks for vector controlled speed sensorless induction motor drive, IEEE Trans. Ind. Electron. 54 (2007) 167–176 [CrossRef] [Google Scholar]
  17. B. Karanayil, M.F. Rahman, C. Grantham, Stator and rotor resistance observers for induction motor drive using fuzzy logic and artificial neural networks, IEEE Trans. Energy Conversion 20 (2005) 771–780 [CrossRef] [Google Scholar]
  18. G. Kenné, T. Ahmed-Ali, F. Lamnabhi-Lagarrigue, A. Arzandé, J. Claude Vannier, An improved rotor resistance estimator for induction motors adaptive control, Electr. Power Syst. Res. 81 (2011) 930–941 [CrossRef] [Google Scholar]
  19. P. Roncero-Sanchez, A. Garcia-Cerraba, V. Feliu-Batlle, Rotor resistance estimation for induction machines with indirect field-orientation, Control Eng. Practice 15 (2007) 1119–1133 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.