• DocumentCode
    3516786
  • Title

    Miniature accelerometer precision improvement using intelligent control

  • Author

    Grigorie, T.L. ; Lungu, M. ; Edu, I.R. ; Obreja, R.

  • Author_Institution
    Avionics Div., Univ. of Craiova, Craiova, Romania
  • fYear
    2011
  • fDate
    19-21 May 2011
  • Firstpage
    421
  • Lastpage
    426
  • Abstract
    The paper presents a way to improve the transient regime of a miniature accelerometer by using a fuzzy controller to close its loop. The fuzzy controller replaces an electronic block on the feedback path of the closed loop, block that, in the classical architecture, assured the system damping and, in the same time, played the role of elastic link of the accelerometer proof mass. For the proposed controller, proportional-derivative variant is chosen, and its input-output mapping is derived. The membership functions for inputs are s-functions, π-functions, respectively z-functions, while the output membership functions have constant values. To define the rules, a zero-order Sugeno fuzzy model is chosen. Finally, a comparative numerical study between the classical and the proposed accelerometer architectures is made.
  • Keywords
    accelerometers; fuzzy control; intelligent control; precision engineering; accelerometer architecture; feedback path; fuzzy controller; intelligent control; membership function; miniature accelerometer precision improvement; proportional-derivative variant; system damping; zero-order Sugeno fuzzy model; Accelerometers; Coils; Filtering; Force; Mathematical model; Transducers; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2011 6th IEEE International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4244-9108-7
  • Type

    conf

  • DOI
    10.1109/SACI.2011.5873040
  • Filename
    5873040