Parameters estimation of nonlinear models of DC motors using neural networks

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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
Title of host publicationProceedings of the Universities Power Engineering Conference
Pages37
Number of pages1
Publication statusPublished - 2000
Event35th Universities Power Engineering Conference - Belfast, United Kingdom
Duration: Sep 6 2000Sep 8 2000

Other

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

    Fingerprint

ASJC Scopus subject areas

  • Energy(all)
  • Engineering(all)

Cite this

El-Arabawy, I. F., Yousef, H. A., & Abdul-Kader, H. M. (2000). Parameters estimation of nonlinear models of DC motors using neural networks. In Proceedings of the Universities Power Engineering Conference (pp. 37)