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http://dx.doi.org/10.5916/jkosme.2007.31.4.441

A Study on the New Parameter Estimation Technique of Direct Current Motor  

Kim, Jong-Su (한국해양대학교 선박전자기계공학부)
Kim, Sung-Hwan (한국해양대학교 선박전자기계공학부)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.31, no.4, 2007 , pp. 441-447 More about this Journal
Abstract
The speed and torque control performance of the DC motor used in the industrial field is affected by the change of parameters. In particular the change of armature resistance can be greatly originated from various load conditions. Accordingly a large number of studies to estimate those problems in the servo motor control field have already been under way. In this paper, the armature resistance on the DC motor under several load and speed conditions is estimated by the Artificial Neural Network(ANN), and the validity is proven by the speed estimation of sensorless speed control system.
Keywords
Servo Motor; Armature Resistance; Artificial Neural Network;
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1 M. T. Wishart and R. G. Harley, 'Identification and Control of Induction Machines Using Artificial Neural Networks', IEEE Trans. on Ind. Appl., vol. 31, No. 3, pp.612-619, 1995   DOI   ScienceOn
2 C. M. Lim, 'Implementation and experimental study of a fuzzy logic controller for dc motors', ELSEVIER Trans. on com. in ind. 26, pp.93-96, 1995
3 J. -S. R. Jang, C. -T. Sun, E. Mizutani, 'Neuro-Fuzzy and Soft Computing', Prentice Hall, 1997
4 J. A. Campbell, M. Sumner and M. Curtis, 'An improved sensorless vector controlled induction motor drive employing artificial neural networks for stator resistance estimation', IEE Conf. Pub. No. 475, Power Electronics and Variable Speed Drives, pp. 274-279. 2000
5 M. G. Simoes and B. K. Bose, 'Neural Network Based Estimation of Feedback Signals for a Vector-Controlled Induction Motor Drive', IEEE Trans. Indus. Appli., Vol. 31, No. 3, pp. 620-629, 1993
6 Nobuyuki Matsui and Masakane Shigyo, 'Brushless dc motor control without position and speed sensors', IEEE Trans. On Ind. Appl., Vol. 28, No. 1, Jan/Feb. 1992
7 G. A. Rovithakis and M. A. Christodoulou, 'Direct adaptive regulation using dynamic neural networks: Application to dc motors speed control', ELSEVIER Trans. on Math. and Comp. in Simul. 41, pp.53-62., 1996   DOI   ScienceOn