• DocumentCode
    739733
  • Title

    A Joint-Angle Estimation Method for Industrial Manipulators Using Inertial Sensors

  • Author

    Cantelli, Luciano ; Muscato, Giovanni ; Nunnari, Marco ; Spina, Davide

  • Author_Institution
    Dipt. di Ing. Elettr. Elettron. e Inf., Univ. of Catania, Catania, Italy
  • Volume
    20
  • Issue
    5
  • fYear
    2015
  • Firstpage
    2486
  • Lastpage
    2495
  • Abstract
    This paper focuses on the use of low-cost inertial sensors in industrial manipulators. In particular, an easy-to-install joint-angle estimation method is proposed. This scheme can work independently from the primary encoder-based sensor, for the creation of a fault-detection system. It can also be the primary joint-angle sensor in low-cost robotic manipulators. A robot with six degrees of freedom has been used, with three inertial measurement units set on its arms; one for each pair of joints. Three cascaded extended Kalman filters have been used to estimate the joint angles by the fusion of the outputs of triaxial gyroscopes and accelerometers. The results of three experimental tests are reported in order to show the performance and limitations of this approach, in comparison with the simple gyroscope measurements integration.
  • Keywords
    Kalman filters; accelerometers; estimation theory; gyroscopes; industrial manipulators; inertial navigation; parameter estimation; sensors; accelerometer; encoder-based sensor; extended Kalman filter; fault-detection system; gyroscope; industrial manipulator; inertial sensor; joint-angle estimation method; Accelerometers; Estimation; Gyroscopes; Joints; Manipulators; Sensors; Calibration; Kalman filtering; identification; manipulators; safety;
  • fLanguage
    English
  • Journal_Title
    Mechatronics, IEEE/ASME Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4435
  • Type

    jour

  • DOI
    10.1109/TMECH.2014.2385940
  • Filename
    7018962