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Intelligent Induction Motor Drive

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 22
Year of Publication: 2012
Authors:
Rohit Gupta
Ruchika
10.5120/7939-1277

Rohit Gupta and Ruchika. Article: Intelligent Induction Motor Drive. International Journal of Computer Applications 50(22):41-47, July 2012. Full text available. BibTeX

@article{key:article,
	author = {Rohit Gupta and Ruchika},
	title = {Article: Intelligent Induction Motor Drive},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {22},
	pages = {41-47},
	month = {July},
	note = {Full text available}
}

Abstract

Electrical drives play an important role in rapidly growing industrial era, so the controlling of electrical drives is also important. Variable speed drives are the major part of power system, microelectronic, power plant and so on. Conventional controlling methods of electrical drives needed mathematical model of control process which was very tedious, that problem is solved by artificial intelligence which contains both hard computation and soft computation. Artificial intelligence has found high application in most nonlinear systems same as motor drive. As no mathematical model is needed for artificial intelligent system so efficiency and reliability of drives increase and volume, weight and cost of drives decrease. Soft starters are widely used with electronic motor as it provides improved operating characteristics and better control. Soft starter also reduces the wear and tear effects on motor and their associated drive systems which in turn reduces maintenance, conserve energy and plays a significant part in improving system performance so the escalators, pumps, elevators and conveyor belts can be operated more effectively with soft starter.

References

  • Bimal Bose 2006. Power Electronics and Motor Drives advances and Trends, 1st edition, Elsevier Academic Press.
  • Say, M. 1984 Alternating Current Machines. 2nd Edition, Pitman, England.
  • Badr, M. A. , Abdel Halim, M. A. , and Alolah, A. I. 1996 A Nonconventional Method for Fast Starting of Three Phase Wound-Rotor Induction Motors. IEEE Trans. On Energy Conversion Vol. 11, pp. 701-707.
  • Abdel Halim, M. A. , Badr, M. A. , and Alolah, A. I. 1997 Smooth starting of slip ring induction motors. IEEE Trans. On Energy Conversion Vol. 12, pp. 317-322.
  • Hamouda, R. M. , Alolah, A. I. , Badr, M. A. , and Abdel Halim, M. A. 1999 A Comparative Study on the Starting Methodes of Three Phase Wound-Rotor Induction Motors part I. IEEE Trans. On Energy Conversion Vol. 14, pp. 918-922.
  • Zenginobuz, G. , Cadirci, I. , Ermis, M. , and Barlak, C. 2001. Soft Starting of Large Induction Motors at Constant Current with Minimized Starting Torque Pulsations. IEEE Trans. On Industry Applications Vol. 37, pp. 1334-1347.
  • Rashad, E. M. , Radwan, T. S. , and Rahman, M. A. 2004. Starting and Vector Control of Series-Connected Wound-Rotor Induction Motor in Super Synchronous Mode. 39th IAS Annual Meeting Conference on Industry Applications Vol. 1, pp. 32-39.
  • Li, W. X. , Lu, J. G. , Liu, M. S. , and Zhao, J. 2004. Design of Intelligent Soft-Start Controller for Induction Motor. Proceedings of 3rd International Conference on Machine Learning and Cybernetics Vol. 2, pp. 908-912.
  • Denai, M. A. , and Attia, S. A. 2002. Fuzzy and Neural Control of an Induction Motor. International Journal Appl. Math. Computer Sci Vol. 12.
  • Cleland, J. G. , and Tumer, M. W. Fuzzy Logic Control of Electric Motors and Motors Drives Feasibility Study. United States Air and Energy Engineering Environmental Protection Research Laboratory Agency Research Triangle Park.
  • Shen, J. X. , Zhu, Z. Q. , Howe, D. , and Buckley, J. M. 2002. Adaptive Fuzzy Logic Speed Control of PM Brushless AC Drives. International Conference on Power Electronics Machines and Drives, pp. 68-73.
  • Dannenberg, A. 2005. Fuzzy Logic Motor Control with MSP430x14x. Texas Instruments, Application Report, SLAA235.
  • Miloud, Y. , and Draou, A. 2005. Performance Analysis of a Fuzzy Logic Based Rotor Resistance Estimator of an Indirect Vector Controlled Induction Motor Drive. Turk J Elce Engine Vol 13.