Experimental Grey Box Model Identification of an Active Gas Bearing

Lukas Roy Svane Theisen, Fabián Gonzalo Pierart Vásquez, Hans Henrik Niemann, Ilmar Santos, Mogens Blanke

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Gas bearings have inherent dynamics that gives rise to low damping and potential instability at certain rotational speeds. Required damping and stabilization properties can be achieved by active ow control if bearing parameters are known. This paper deals with identifacation of parameters in a dynamic model of an active gas bearing and subsequent control loop design. A grey box model is determined based on experiments where piezo actuated valves are used to perturb the journal and hence excite the rotor-bearing system. Such modelling from actuator to output is shown to effciently support controller design, in contrast to impact models that focus on resonance dynamics. The identified model is able to accurately reproduce the lateral dynamics of the rotor-bearing system in a desired operating range, in this case around the first two natural frequencies. The identified models are validated and used to design a model-based controller capable of improving the damping of the gas bearing. Experimental impact responses show an increase in damping by a factor nine for the investigated conditions.
    Original languageEnglish
    Title of host publicationVibration Engineering and Technology of Machinery : Proceedings of VETOMAC X 2014
    EditorsJyoti K. Sinha
    PublisherSpringer
    Publication date2014
    Pages963-976
    ISBN (Print)978-3-319-09917-0
    DOIs
    Publication statusPublished - 2014
    Event10th International Conference on Vibration Engineering and Technology of Machinery - University of Manchester, Manchester, United Kingdom
    Duration: 9 Sept 201411 Sept 2014
    Conference number: 10

    Conference

    Conference10th International Conference on Vibration Engineering and Technology of Machinery
    Number10
    LocationUniversity of Manchester
    Country/TerritoryUnited Kingdom
    CityManchester
    Period09/09/201411/09/2014
    SeriesMechanisms and Machine Science
    Volume23
    ISSN2211-0984

    Keywords

    • System Identification
    • Active Gas Bearings
    • Experimental techniques
    • Modelling
    • Rotordynamics

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