• DocumentCode
    2968895
  • Title

    Development of ANN inverse compensator for two-dimensional force sensor

  • Author

    Ding, Yuhan ; Dai, Xianzhong ; Ma, Chunmiao

  • Author_Institution
    Key Lab. of Meas. & Control of CSE, Southeast Univ., Nanjing, China
  • fYear
    2009
  • fDate
    22-24 June 2009
  • Firstpage
    162
  • Lastpage
    166
  • Abstract
    In order to improve the dynamic performance as well as eliminate the coupling between the two dimensions of the oblate ring two-dimensional force sensor, this paper presents an ANN (artificial neural network) inverse compensating method, based on which we construct an ANN inverse compensator. The compensator is composed of several differentiators and a static ANN. By cascading the ANN inverse compensator with the original sensor, a compounded measurement system is then established. The experiment results show that the coupling phenomenon of the compounded system almost disappears and the dynamic performance is ameliorated remarkably compared with those of the original sensor.
  • Keywords
    compensation; computerised instrumentation; force sensors; neural nets; ANN inverse compensator; artificial neural network; compounded measurement system; coupling phenomenon; differentiators; inverse compensating method; oblate ring two-dimensional force sensor; static ANN; Artificial neural networks; Automation; Bridge circuits; Capacitive sensors; Force measurement; Force sensors; Mathematical model; Mechanical sensors; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2009. ICIA '09. International Conference on
  • Conference_Location
    Zhuhai, Macau
  • Print_ISBN
    978-1-4244-3607-1
  • Electronic_ISBN
    978-1-4244-3608-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2009.5204913
  • Filename
    5204913