• DocumentCode
    550797
  • Title

    Modeling of quantitative microinjection and adaptive control

  • Author

    Qin Xiaoli ; Zhao Xin ; Che Xiuge ; Fang Yongchun

  • Author_Institution
    Inst. of Robot. & Autom. Inf. Syst., Nankai Univ., Tianjin, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    6087
  • Lastpage
    6092
  • Abstract
    Aiming at the requirements of the controllability and accuracy of microinjection volume in the cell microinjection technique with the micromanipulator, the lumped model of microinjection pipette is proposed, and based on this model, the adaptive control of microinjection mass flow is designed. Starting from the experimental results, the lumped model from electric circuit was borrowed, which describe the relationship between microinjection mass flow and pressure. Through the analysis of variation of each parameter of Lumped model, the multiple forms of the lumped model is obtained and verified. Because of the combined effect of many factors, it is difficult to obtain the specific values of parameters before the experiment. The adaptive control is used to parameter estimation and tracking the microinjection mass flow. At the end of this paper, the controller is used by matlab simulink to simulation and exactly control of injection volume.
  • Keywords
    adaptive control; control system synthesis; controllability; micromanipulators; parameter estimation; Matlab Simulink; adaptive control; cell microinjection technique; controllability; electric circuit; lumped model; microinjection mass flow; microinjection pipette; microinjection pressure; microinjection volume; micromanipulator; parameter estimation; parameter tracking; quantitative microinjection; Adaptation models; Adaptive control; Analytical models; Integrated circuit modeling; Mathematical model; Microinjection; Solid modeling; Adaptive Control; Lumped Model; Microinjection Mass Flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001137