@article{(Open Science Index):https://publications.waset.org/pdf/10000952,
	  title     = {Identification of the Parameters of a AC Servomotor Using Genetic Algorithm},
	  author    = {J. G. Batista and  K. N. Sousa and  J. L. Nunes and  R. L. S. Sousa and  G. A. P. Thé},
	  country	= {},
	  institution	= {},
	  abstract     = {This work deals with parameter identification of
permanent magnet motors, a class of ac motor which is particularly
important in industrial automation due to characteristics like
applications high performance, are very attractive for applications
with limited space and reducing the need to eliminate because they
have reduced size and volume and can operate in a wide speed range,
without independent ventilation. By using experimental data and
genetic algorithm we have been able to extract values for both the
motor inductance and the electromechanical coupling constant, which
are then compared to measured and/or expected values.
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {8},
	  number    = {6},
	  year      = {2014},
	  pages     = {1034 - 1038},
	  ee        = {https://publications.waset.org/pdf/10000952},
	  url   	= {https://publications.waset.org/vol/90},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 90, 2014},