Neural network based active rotor controller with output feedback

Rwei Ping Ma, Alok Sinha

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

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)
Pages (from-to)1-10
Number of pages10
JournalAmerican Society of Mechanical Engineers (Paper)
StatePublished - Jan 1 1994
EventProceedings of the International Gas Turbine and Aeroengine Congress and Exposition - Hague, Neth
Duration: Jun 13 1994Jun 16 1994

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

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