• DocumentCode
    2482743
  • Title

    Estimation of inclination angle for balancing robots based on physical model

  • Author

    Kalvach, Arnold ; Dabóczi, Tamás

  • Author_Institution
    Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Budapest, Hungary
  • fYear
    2012
  • fDate
    13-16 May 2012
  • Firstpage
    1417
  • Lastpage
    1422
  • Abstract
    This paper presents a method for calculating the accurate inclination angle of a balancing robot using accelerometers and optionally angular rate sensor (rate gyroscope), based on systematic correction of sensor errors. The correction is calculated on the basis of physical model of the system. The basic idea of accelerometer-based inclination measurement is that accelerometers can measure the direction of gravity and thus its angle relative to the upright position. The problem is that in a moving robot not only gravitational acceleration is present, but also the acceleration and angular acceleration of the robot itself, hence the measurement is distorted with these parasitic accelerations. That is why often gyroscopes are used instead or beside the accelerometers. However, gyros have also systematic errors and are more expensive then accelerometers. In this paper we propose to use two accelerometers, each having 2 axes, and compensate the above parasitic accelerations based on a physical model. We developed an algorithm to accurately estimate the inclination angle.
  • Keywords
    accelerometers; angular measurement; gyroscopes; robots; accelerometer-based inclination measurement; accelerometers; angular rate sensor; balancing robots; gravitational acceleration; gravity direction; inclination angle estimation; moving robot; parasitic accelerations; physical model; rate gyroscope; sensor errors systematic correction; Acceleration; Accelerometers; Distortion measurement; Equations; Estimation; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
  • Conference_Location
    Graz
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4577-1773-4
  • Type

    conf

  • DOI
    10.1109/I2MTC.2012.6229518
  • Filename
    6229518