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The compensation of speed ripple caused by the angle-measuring error of inductosyn using neural network

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper tackles the problem of the compensation of speed ripple of brushless DC motors by means of neural networks. The speed ripple is caused by the error of inductosyn angle-measurement. This error is equal to add a disturbance to the input of the speed control system. A parallel three-layer feedforward artificial neural network (FANN) has been proposed to compensate this error in order to improve the speed performance of the DC motor. The compensation is based on the separating technique of the angle-measuring error of the inductosyn. An online learning algorithm for the FANN has also been proposed. Practical results illustrate that the speed performance of the motor is greatly improved by the proposed compensation scheme.

Original languageEnglish
Title of host publication2001 International Conferences on Info-Tech and Info-Net
Subtitle of host publicationA Key to Better Life, ICII 2001 - Proceedings
EditorsY.X. Zhong, Shi-Yin Qin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages340-345
Number of pages6
ISBN (Electronic)0780370104, 9780780370104
DOIs
StatePublished - 2001
EventInternational Conferences on Info-Tech and Info-Net, ICII 2001 - Beijing, China
Duration: 29 Oct 20011 Nov 2001

Publication series

Name2001 International Conferences on Info-Tech and Info-Net: A Key to Better Life, ICII 2001 - Proceedings
Volume4

Conference

ConferenceInternational Conferences on Info-Tech and Info-Net, ICII 2001
Country/TerritoryChina
CityBeijing
Period29/10/011/11/01

Keywords

  • Angle Measurement
  • Feedforward Artificial Neural Network (FANN)
  • Iductosyn
  • Ripple of speed

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