Linearization control of VCR servo system by using a neural network based feedforward compensator

Jeong Tae Kim, Sang Lee, Kesig Lee, Jong Jin Park

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

1 Scopus citations

Abstract

Using the fact that a neural network can emulate a nonlinear function, we design a simulated neural network compensator for VCR servo system. The designed model is analyzed theoretically and the performance of the model is tested through extensive simulations by applying the model to a real commercial product (VCR SV-H815). Simulation results show that our controller reduces steady state velocity error by 60% and low frequency wow-flutter problem is reduced considerably.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
PublisherPubl by IEEE
Pages2753-2756
Number of pages4
ISBN (Print)0780314212, 9780780314214
StatePublished - 1993
EventProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) - Nagoya, Jpn
Duration: 25 Oct 199329 Oct 1993

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume3

Conference

ConferenceProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3)
CityNagoya, Jpn
Period25/10/9329/10/93

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