• DocumentCode
    1758681
  • Title

    A Robust Inclinometer System With Accurate Calibration of Tilt and Azimuth Angles

  • Author

    Weibin Yang ; Bin Fang ; Yuan Yan Tang ; Jiye Qian ; Xudong Qin ; Wenhua Yao

  • Author_Institution
    State Key Lab. of Coal Mine Disaster Dynamics & Control, Chongqing Univ., Chongqing, China
  • Volume
    13
  • Issue
    6
  • fYear
    2013
  • fDate
    41426
  • Firstpage
    2313
  • Lastpage
    2321
  • Abstract
    This paper proposes a robust inclinometer system using three monaxial microelectromechanical systems accelerometers and three monaxial fluxgate sensors. By formulating a basic three sensitive axes sensor model, we calibrate tilt and azimuth directly through a simple and effective linear model. To improve the accuracy of the proposed model, we present two different optimal solutions to minimize the systematic error, and adopt the interior-reflective Newton method and the sequential quadratic programming method to solve the problems, respectively. Experimental results demonstrate that our system performs excellently with the maximum error of tilt angle 0.09° in our applied measurement range (0°-120 °), and the maximum error of azimuth angle 0.4 ° in the measurement range (0° -360°).
  • Keywords
    Newton method; accelerometers; angular measurement; calibration; measurement errors; microsensors; quadratic programming; azimuth angle measurement; calibration; interior-reflective Newton method; measurement error; monaxial fluxgate sensor; monaxial microelectromechanical systems accelerometer; robust inclinometer system; sensitive axe sensor model; sequential quadratic programming method; systematic error minimization; tilt angle measurement; Acceleration; Accelerometers; Azimuth; Calibration; Micromechanical devices; Sensors; Vectors; Azimuth; calibration; fluxgate sensor; monaxial microelectromechanical system (MEMS) accelerometer; tilt;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2252891
  • Filename
    6479679