• DocumentCode
    2814897
  • Title

    The angular velocity estimation principal of α-β-γ filter based on high sampling rate

  • Author

    Zhang, Yue ; Chu, Hairong

  • Author_Institution
    Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    5342
  • Lastpage
    5345
  • Abstract
    In order to get angular velocity of stabilization servo mechanism from angular position sensors, α-β-γ filter based on high sampling rate was established, the principle of steady and transient tracking filter differential were proved. With the hypothesis of constant acceleration, three-dimensional Kalman filter was simplified; α-β-γ filter and its angular velocity transfer function were predigested. Combing with optimum parameters, the effect of α and sample rate on filter nature frequency were evaluated. According to the requirements of stabilization platform, the frequency characteristics of angular velocity transfer function were analyzed, and the filter parameters were designed. The results show that when the spectrum of input signal was lower than 6rad/s, parameters α was 0.02, and sampling period were 0.08ms and 0.1ms respectively, the filter can realize differential exactly, when the spectrum was 9rad/s, the precision was no less than 1.1%, the phase leading of angular position was no less than 70°, the natural frequency should be higher than the cut-off frequency of stabilization platform was two or three times. In the engineering of electro-optical stabilization servo mechanism, α-β-γ filter has properties of tracking differential, and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors.
  • Keywords
    Kalman filters; angular velocity measurement; position measurement; servomechanisms; velocity measurement; α-β-γ filter; angular position sensors; angular velocity estimation principal; cut-off frequency; electro-optical stabilization servo mechanism; frequency characteristics; high sampling rate; stabilization platform; three-dimensional Kalman filter; time 0.08 ms; time 0.1 ms; transient tracking filter differential; Acceleration; Angular velocity; Estimation; Extraterrestrial measurements; Kalman filters; Optical filters; Servomotors; α-β-γ; angular velocity estimation; filter; high sampling rate; tracking differential principle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5988199
  • Filename
    5988199