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Control and Diagnostic Model of Brushless Dc Motor Cover

Control and Diagnostic Model of Brushless Dc Motor

Open Access
|Nov 2014

References

  1. [1] WAEL, A. S.-DAHAMAN, I.-KHALEEL, J. H. : PWM Switching Strategy for Torque Ripple Minimization in BLDC Motor, Journal of Electrical Engineering 62 No. 3 (2011), 141-146.
  2. [2] MOHAMED, A. A.-EHAB, H. E. B.-HISHAM, M. S. : Adaptive Deadbeat Controllers for Brushless DC Drives using PSO and ANFIS Techniques, Journal of Electrical Engineering 60 No. 1 (2009), 3-11.
  3. [3] DRAŠNAR, P.-KUDL´A ˇC EK, J.-PEPELNJAK, T.-CAR, Z.-PAZDEROV´A, M. : Zinc-Polytetrafluoroethylene Composite Coating with Exploitable Tribological Properties, Journal of Engineering Technology 30, No. 1 (2013), 28-34.
  4. [4] RAJAGOPALAN, S.-HABETLER, T. G.-HARLEY, R. G.- ALLER, J. M.-RESTREPO, J. A. : Diagnosis of Rotor Faults in Brushless DC (BLDC) Motors Operating under Non-Stationary Conditions using Windowed Fourier Ridges, Industry Applications Conference, vol. 1, Fourtieth IAS Annual Meeting. Conference Record, 2-6 Oct. 2005, pp. 26-33.
  5. [5] RAJAGOPALAN, S.-RESTREPO, J. A.-ALLER, J. M.- HABETLER, T. G.-HARLEY, R. G. : Selecting Time-Frequency Representations for Detecting Rotor Faults in BLDC Motors Operating under Rapidly Varying Operating Conditions, IECON 2005 31st Annual Conference of IEEE, Industrial Electronics Society.10.1109/IECON.2005.1569314
  6. [6] RAJAGOPALAN, S. : Detection of Rotor and Load Faults in Brushless DC Motors Operating under Stationary and Nonstationary Conditions, Georgia Institute of Technology, https://smartech.gatech.edu/handle/1853/11524?show=full.
  7. [7] BAE, H.-KIM, S.-VACHTSEVANOS, G. : Fault Detection and Diagnosis of Winding Short in BLDC Motors based on Fuzzy Similarity, International Journal of Fuzzy Logic and Intelligent Systems 9 No. 2 (June 2009), 99-104.10.5391/IJFIS.2009.9.2.099
  8. [8] BAEK, G.-KIM, Y.-KIM, S. : Fault Diagnosis of Identical Brushless DC Motors under Patterns of State Change, Fuzzy Systems, 2008. FUZZ-IEEE 2008 (IEEE World Congress on Computational Intelligence), pp. 2083-2088.10.1109/FUZZY.2008.4630657
  9. [9] NIKITIN, Yu. : Development of Intellectual Mechanotronic Modules with Diagnostic Functions, Mechatronika 2009, Proceedings of 12th International Conference on Mechatronics, Trenˇcianske Teplice, Slovak Republic, 3-5.6.2009, pp. 133-137.
  10. [10] NIKITIN, Yu.-ABRAMOV, I. : Algorithms for Mechatronic Systems Diagnosing, AIM 2010, Proceeding of 5th International Symposium. Advances in Mechatronics, Dec 7-9 2010, pp. 60-62.
  11. [11] NIKITIN, Yu.-ABRAMOV, I. : Mechatronic Modules Diagnosis by Use of Fuzzy Sets, Mechatronika 2011, Proceedings of 14th International Conference on Mechatronics, Trenˇcianske Teplice, Slovakia, 2011, pp. 109-111.10.1109/MECHATRON.2011.5961091
  12. [12] NIKITIN, Yu.R.-ABRAMOV, I. V. : CNC Machines Diagnostics, Mechatronika 2010, Proceedings of 13th International Symposium on Mechatronics, June 2-4, 2010, pp. 89-91.
  13. [13] NIKITIN, Yu.R.-ABRAMOV, I. V. : Information Processes Models of Mechatronic Systems Diagnosis, University Review, vol. 5, 2011, pp. 12-16, http://www.tnuni.sk/fileadmin/dokumenty/univerzita/casopisy/universityreview/UR2011 01.pdf.
  14. [14] Site of software package “Simulation in technical devices” http://mvtu.power.bmstu.ru/.
DOI: https://doi.org/10.2478/jee-2014-0044 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 277 - 282
Submitted on: Jan 12, 2014
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Published on: Nov 5, 2014
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2014 Ivan V. Abramov, Yury R. Nikitin, Andrei I. Abramov, Ella V. Sosnovich, Pavol Božek, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.