• DocumentCode
    620274
  • Title

    A fusion attitude determination method based on quaternion for MEMS gyro/accelerometer/magnetometer

  • Author

    Zhou Yongjie ; Zhang Haiyun ; Zhang Tao ; Wang Leigang ; Ren Wei ; Luan Mengkai ; Liu Huifeng ; Shi Jingwei

  • Author_Institution
    Tsinghua Space Center, Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    3228
  • Lastpage
    3232
  • Abstract
    With the development of new technologies and market demand changing, MEMS gyroscope has been widely used. But low accuracy, large drift and other defects limit its application in some areas. This paper presents an attitude fusion algorithm based on the MEMS gyroscope, MEMS accelerometer and MEMS magnetometer. Firstly, the error model of the MEMS gyroscope was established, and rotation vector method to determine the gyro attitude was introduced. Then the state equation and observation equation of the designed Kalman filter was derived. Finally, experimental results illustrated the effectiveness of the fusion algorithm. That is, with the proposed fusion attitude determination algorithm, it is able to compensate gyro drift and provide a reliable and stable attitude for a long time.
  • Keywords
    Kalman filters; accelerometers; attitude measurement; gyroscopes; magnetometers; micromechanical devices; Kalman filter design; MEMS accelerometer; MEMS gyroscope error model; MEMS magnetometer; attitude fusion algorithm; fusion attitude determination method; gyro attitude determination; gyro drift compensation; quaternion; rotation vector method; state equation; state observation equation; Accelerometers; Magnetometers; Mathematical model; Micromechanical devices; Position measurement; Quaternions; Vectors; Kalman filter; MEMS; fusion attitude determination; gyro drift; rotation vector method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561503
  • Filename
    6561503