• DocumentCode
    3333017
  • Title

    Accelerometer for mobile robot positioning

  • Author

    Liu, Hugh ; Pang, Grantham

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1735
  • Abstract
    An evaluation of a low-cost, small sized solid state accelerometer is described in this paper. The sensor is intended for positioning of a mobile robot or platform. The acceleration signal outputted by the sensor is doubly integrated with time which yields the traveled distance. Bias offset drift exhibits in the acceleration signal is accumulative and the accuracy of the distance measurement deteriorates with time due to the integration. A Kalman filter is used to reduce errors caused by random noises. The random bias drift of the accelerometer was found by experiment to be 2.5 mg. The accelerometer was moved back and forth three times for a distance of 40 cm with an acceleration of 8 m/s2. The final distance error accumulated was -1.08 cm. The bias drift rate due to temperature was 0.108 μg/s when the accelerometer was placed at room temperature. The results show that the accelerometer could be a viable solution as a short duration distance-measuring device for a mobile robot or platform
  • Keywords
    Kalman filters; acceleration measurement; accelerometers; distance measurement; mobile robots; position control; 40 cm; Kalman filter; bias drift rate; bias offset drift; mobile robot positioning; random bias drift; sensor; short duration distance-measuring device; solid-state accelerometer; travel distance; Acceleration; Accelerometers; Dead reckoning; Global Positioning System; Inertial navigation; Mobile robots; Noise reduction; Sensor phenomena and characterization; Solid state circuits; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-5589-X
  • Type

    conf

  • DOI
    10.1109/IAS.1999.805974
  • Filename
    805974