• DocumentCode
    3494031
  • Title

    Six-component force sensor and its calibration system

  • Author

    Pei-yu, LI ; Da-peng, TAN ; Guo, Liu ; Mei-yi, Ying

  • Author_Institution
    Coll. of Mech. & Energy Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2005
  • fDate
    19-22 March 2005
  • Firstpage
    889
  • Lastpage
    893
  • Abstract
    This paper is based on the investigation and analysis of today´s multi-component force sensor, discussing the mathematic model of six-component force sensor in theory level and establishing the equations set. Then we adopt two algorithms, random-Newton and regression step by step, to solve the equations set. In the two algorithms above, random-Newton is our creation which lead through the genetic algorithm in the traditional Newton iteration and has very high efficiency of calculation. The other one, regression step by step, has better outcome than random-Newton in some condition, but its procedure is more difficult than random-Newton and requires more experiments with high accuracy. So, according to the achievement above, we develop the six-component force sensor and calibration system. After large numbers of experiment, the result is very good.
  • Keywords
    Newton method; calibration; force sensors; genetic algorithms; regression analysis; Newton iteration; calibration system; genetic algorithm; mathematic model; random-Newton algorithm; regression step by step algorithm; six-component force sensor; Calibration; Coordinate measuring machines; Equations; Force measurement; Force sensors; Mathematical model; Mathematics; Measurement standards; Power engineering and energy; Torque measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
  • Print_ISBN
    0-7803-8812-7
  • Type

    conf

  • DOI
    10.1109/ICNSC.2005.1461310
  • Filename
    1461310