• Login
    View Item 
    •   SMARTech Home
    • Institute for Robotics and Intelligent Machines (IRIM)
    • IRIM Articles and Papers
    • Intelligent Machine Dynamics Laboratory
    • View Item
    •   SMARTech Home
    • Institute for Robotics and Intelligent Machines (IRIM)
    • IRIM Articles and Papers
    • Intelligent Machine Dynamics Laboratory
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Comparison of Natural Frequency Methods for Flexible Manipulator Arms

    Thumbnail
    View/Open
    A Comparison of Natural Frequency Prediction Methods for Flexible Manipulator Arms.pdf (614.8Kb)
    Date
    1980-11
    Author
    Book, Wayne John
    Majette, Mark
    Metadata
    Show full item record
    Abstract
    Predictions of natural frequencies of flexible manipulator arms as performed by alternative structural models and computer implementations are compared. The Space Shuttle Remote Manipulator System (RMS) manipulator arm is used as the basis for comparison. Finite element and transfer matrix implementations of Bernoulli Euler, lumped mass, and consistent mass models are considered.
    URI
    http://hdl.handle.net/1853/39099
    Collections
    • Intelligent Machine Dynamics Laboratory [175]
    • Intelligent Machine Dynamics Laboratory Publications [175]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology