Neural network based active rotor controller with output feedback

Rwei Ping Ma, Alok Sinha

Research output: Contribution to journalConference article

1 Citation (Scopus)

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

Fingerprint

Rotors
Neural networks
Feedback
Controllers
Rigid rotors
Magnetic bearings
Degrees of freedom (mechanics)
Vibration control
Vibrations (mechanical)
Feedback control
Control systems

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this

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title = "Neural network based active rotor controller with output feedback",
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.",
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Neural network based active rotor controller with output feedback. / Ma, Rwei Ping; Sinha, Alok.

In: American Society of Mechanical Engineers (Paper), 01.01.1994, p. 1-10.

Research output: Contribution to journalConference article

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AB - 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.

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