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Article

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Title

Application of artificial neural network to robust speed control of servodrive

Authors

[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2007

Published in

IEEE Transactions on Industrial Electronics

Journal year: 2007 | Journal number: iss. 1

Article type

scientific article

Publication language

english

Keywords
EN
  • neural network applications
  • permanent magnet motors
  • robustness
Abstract

EN This paper deals with the problem of robust speed control of electrical servodrives. A robust speed controller is developed using an artificial neural network (ANN), which creates a nonlinear characteristic of controller. An original method of neural controller synthesis is presented. The synthesis procedure is performed in two stages. The first stage consists in training the ANN and at the second stage controller settings are adjusted. The use of the proposed controller synthesis procedure ensures robust speed control against the variations of moment of inertia and stator magnetic flux. Simulations and laboratory results validate the robustness of the servodrive with permanent magnet synchronous motor.

Pages (from - to)

200 - 207

DOI

10.1109/TIE.2006.888782

URL

https://ieeexplore.ieee.org/document/4084692

Impact Factor

2,216

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