A neural network based active rotor controller with output feedback

Rwel Ping Ma, Alok Sinha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A neural network based output feedback control system has been developed to optimally suppress rotor vibration caused by the rotor unbalance. The unique feature of this new vibration absorber is its ability to optimally control vibration for a wide range of rotor speeds. Numerical examples dealing with a multi-degree-of-freedom rigid rotor supported by radial magnetic bearings are presented to verify the advantages of this novel neural network based output feedback active vibration absorber.

Original languageEnglish (US)
Title of host publicationManufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791878873
DOIs
StatePublished - 1994
EventASME 1994 International Gas Turbine and Aeroengine Congress and Exposition, GT 1994 - The Hague, Netherlands
Duration: Jun 13 1994Jun 16 1994

Publication series

NameProceedings of the ASME Turbo Expo
Volume5

Other

OtherASME 1994 International Gas Turbine and Aeroengine Congress and Exposition, GT 1994
CountryNetherlands
CityThe Hague
Period6/13/946/16/94

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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