• Login
    View Item 
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Two-scale command shaping for feedforward control of nonlinear systems

    Thumbnail
    View/Open
    WILBANKS-DISSERTATION-2019.pdf (10.43Mb)
    Date
    2019-01-08
    Author
    Wilbanks, James Justin
    Metadata
    Show full item record
    Abstract
    This research proposes a two-scale command shaping (TSCS) approach for tailoring control inputs to nonlinear, flexible systems aimed at reducing undesirable residual vibrations. These systems exhibit control complexities not present in traditional linear systems. The TSCS approach employs problem scale decomposition using an asymptotic method, command shaping of a linear subproblem, and cancellation of a remaining nonlinear subproblem. For traditional and nontraditional Duffing-like nonlinear systems, TSCS is shown herein to outperform other command shaping strategies recently presented in literature. Following initial development, the TSCS approach is further extended to nonlinear systems with uncertain parameters through the implementation of robust command shaping strategies and parameter estimation techniques. Undesirable vibrations arising from internal combustion engine (ICE) restart/shutdown, which occurs in both hybrid electric and conventional vehicles, provides a contemporary motivating problem ideal for TSCS application due to nonlinearities arising in ICE geometry and friction. Using analytical, computational, and experimental means, TSCS applied to this problem is shown to significantly reduce undesirable vibrations while leveraging existing vehicle components. It is anticipated that the developed TSCS approach can be applied to a wide array of nonlinear, flexible systems with little to no additional cost and complexity, making it attractive for further study and adoption.
    URI
    http://hdl.handle.net/1853/61202
    Collections
    • Georgia Tech Theses and Dissertations [23877]
    • School of Mechanical Engineering Theses and Dissertations [4086]

    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