• DocumentCode
    2627550
  • Title

    Realization of a MEMS attitude reference system for a small aerial vehicle

  • Author

    Kim, Chungil ; Kim, Taeyeon ; Lyou, Joon

  • Author_Institution
    Dept. of Electron. Eng., Chungnam Nat. Univ., Daejeon, South Korea
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    1567
  • Lastpage
    1570
  • Abstract
    In general, a MEMS attitude reference system (ARS) estimates attitude (roll and pitch) of the body relative to the reference frame by implementing gyro sensors and accelerometers on all three axes. Some system using a MEMS ARS like a small aerial vehicle has one or more actuators. These actuators generate the platform vibration which acts on dynamic acceleration of accelerometers and degrade the ARS performance. Since the vibration has a time-varying frequency and occurs continuously while the vehicle is maneuvering, it cannot be isolated or attenuated by simple low pass filter. For this reason, a 2nd order infinite impulse response notch filter has been designed and the filter coefficients have been adjusted based on the least mean square method so as to identify and reject the unknown time-varying vibration frequency. To evaluate the designed MES ARS, it has been mounted on the small quad-rotor helicopter and some experimental results of attitude estimation are given.
  • Keywords
    accelerometers; gyroscopes; helicopters; least mean squares methods; low-pass filters; microactuators; notch filters; space vehicles; 2nd order infinite impulse response notch filter; MEMS ARS; MEMS attitude reference system; accelerometers; actuators; aerial vehicle; attitude estimation; filter coefficients; gyro sensors; least mean square method; low pass filter; quadrotor helicopter; time-varying frequency; time-varying vibration frequency; Equations; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388507
  • Filename
    6388507