• DocumentCode
    616862
  • Title

    A miniature, low-cost MEMS AHRS with application to posture control of robotic fish

  • Author

    Yonghui Hu ; Yong Yan ; Jianhong Liang ; Lijuan Wang

  • Author_Institution
    Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    6-9 May 2013
  • Firstpage
    1392
  • Lastpage
    1395
  • Abstract
    Inertial sensing is of paramount importance for a wide variety of navigation, guidance and control tasks. Historically, application of inertial sensing was limited to high-performance, high-cost aerospace and military fields. Recent MEMS technology has enabled miniaturization, mass production, and cost reduction of inertial sensors. This paper presents the development and robotic application of a miniature, low-cost AHRS unit based on MEMS technology. The sensor suite includes a tri-axis gyroscope, a tri-axis accelerometer and a tri-axis magnetometer. Fusion of the sensor measurements is achieved with a quaternion-based EKF algorithm. The performance of the AHRS unit is evaluated with a rotating platform and the results suggest numerous application possibilities. As an application case, the AHRS unit is employed for posture measurement of a robotic fish. By adjusting the lift forces produced by pectoral fins on both sides, the robotic fish can maintain desired posture during highspeed swimming.
  • Keywords
    accelerometers; gyroscopes; inertial navigation; microsensors; robots; sensor fusion; MEMS AHRS; accelerometer; attitude and heading reference system; inertial sensing; posture control; robotic fish; sensor fusion; tri-axis gyroscope; Magnetic resonance imaging; Magnetometers; Micromechanical devices; Reliability; Attitude and Heading Reference System (AHRS); extended Kalman filter; posture control; robotic fish;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4673-4621-4
  • Type

    conf

  • DOI
    10.1109/I2MTC.2013.6555642
  • Filename
    6555642