%0 Journal Article
	%A J. G. Batista and  T. S. Santiago and  E. A. Ribeiro and  ¬G. A. P. Thé
	%D 2014
	%J International Journal of Mechanical and Mechatronics Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 86, 2014
	%T A609 Modeling of AC Servomotor Using Genetic Algorithm and Tests for Control of a Robotic Joint
	%U https://publications.waset.org/pdf/9997601
	%V 86
	%X 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 measure and/or expected values.

	%P 325 - 331