Parameters estimation of nonlinear models of DC motors using neural networks

I. F. El-Arabawy, H. A. Yousef*, H. M. Abdul-Kader

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

An estimation scheme for parameters of nonlinear models of dc motors using neural network is presented. The scheme is considered as an on line identification method based on minimization of the least square error between the actual and the estimated parameters. Numerical results show the effectiveness of the scheme for parameters estimation of nonlinear model of a dc series motor.

Original languageEnglish
Pages37
Number of pages1
Publication statusPublished - 2000
Event35th Universities Power Engineering Conference - Belfast, United Kingdom
Duration: Sept 6 2000Sept 8 2000

Other

Other35th Universities Power Engineering Conference
Country/TerritoryUnited Kingdom
CityBelfast
Period9/6/009/8/00

ASJC Scopus subject areas

  • General Energy
  • General Engineering

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