• DocumentCode
    174902
  • Title

    Polynomial degree determination for temperature dependent error compensation of inertial sensors

  • Author

    Gunhan, Yesim ; Unsal, Derya

  • Author_Institution
    Guidance & Control Design Dept, Roketsan Missiles Ind. Inc., Ankara, Turkey
  • fYear
    2014
  • fDate
    5-8 May 2014
  • Firstpage
    1209
  • Lastpage
    1212
  • Abstract
    MEMS based Inertial Measurement Units, which include MEMS accelerometers and gyroscopes, have a wide range of applications due to their low cost, small size and low power consumption. IMU error should be reduced to the lowest level so as to minimize errors of navigation systems which use MEMS IMU. MEMS sensors have bias, scale factor as well as temperature change of these errors. In the error compensation algorithm, polynomials are used to compensate temperature dependent change of errors. The degree of polynomials, which are determined according to sensor characteristics, affect IMU performance. Therefore, optimum degree must be determined by various methods and studies. In this paper, temperature dependent errors of MEMS inertial sensors will be defined and how to determine degree of polynomial will be explained so as to compensate errors by the optimum way. Several simulation studies are supported with real sensor data.
  • Keywords
    accelerometers; error compensation; gyroscopes; microsensors; polynomials; IMU error; MEMS accelerometers; MEMS based inertial measurement units; MEMS gyroscopes; MEMS inertial sensors; bias; error minimization; low power consumption; navigation systems; optimum degree; polynomial degree determination; scale factor; sensor characteristics; temperature dependent error compensation algorithm; Accelerometers; Polynomials; Sensor phenomena and characterization; Temperature; Temperature dependence; Temperature sensors; compensation; inertial sesnsor; polynomial degree; temperature characteristic of inertial sensor; temperature dependent error;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    978-1-4799-3319-8
  • Type

    conf

  • DOI
    10.1109/PLANS.2014.6851494
  • Filename
    6851494