• DocumentCode
    876075
  • Title

    Velocity Estimation: Assessing the Performance of Non-Model-Based Techniques

  • Author

    Bascetta, Luca ; Magnani, GianAntonio ; Rocco, Paolo

  • Author_Institution
    Dipt. di Elettron. e Inf., Politec. di Milano, Milan
  • Volume
    17
  • Issue
    2
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    424
  • Lastpage
    433
  • Abstract
    The performance of modern motion control systems is strongly related to the resolution of the position sensor and to the digital filtering algorithm used to estimate the velocity. This brief discusses a systematic approach to analyze and assess the performance of non-model-based estimators. A new methodology for the analytical characterization of the velocity estimation error, both in the time and in the frequency domains, is proposed. A case study illustrates how this methodology can be exploited in the analysis of existing velocity measurement systems and/or in the design of a new one.
  • Keywords
    control engineering computing; filtering theory; frequency-domain analysis; motion control; sensors; digital filtering algorithm; frequency domains; motion control systems; nonmodel-based estimators; nonmodel-based techniques; position sensor; velocity estimation error; Digital filters; error analysis; estimation; finite-impulse response (FIR) digital filters; motor drives; position measurement; velocity measurement;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2008.2001054
  • Filename
    4636726