• DocumentCode
    2556532
  • Title

    Dynamic modeling and adaptive predictive control (APC) of drilling of composite materials

  • Author

    Sheng, Ye ; Tomizuka, Masayoshi ; Ozaki, Motoyoshi

  • Author_Institution
    Dept. of Mech. Eng., California Univ., Berkeley, CA, USA
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2568
  • Abstract
    Dynamic modeling and adaptive predictive control of drilling force of composite materials are developed. A linear dynamic model is applied to predict the drilling force as a function of the drill feedrate. It can predict force locally for the tuned case under the condition of small variation of operation range. An adaptive strategy is used to estimate model parameters in real time so that the linear model may be applied to the whole drilling process in the situation of large variation of operation range. The loop gain is assumed to be locally time invariant in the prediction horizon and a multi-step ahead prediction model is proposed. An adaptive predictive control strategy is utilized to regulate the thrust force in the drilling process. Simulation and experimental results are presented
  • Keywords
    adaptive control; composite materials; dynamics; force control; least squares approximations; machining; parameter estimation; predictive control; two-term control; PI controller; adaptive control; composite materials; drilling; dynamic modeling; linear dynamic model; parameter estimation; predictive control; recursive least squares; Adaptive control; Composite materials; Delamination; Drilling; Force control; Laminates; Optical fiber testing; Predictive control; Predictive models; Programmable control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2000. Proceedings of the 2000
  • Conference_Location
    Chicago, IL
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-5519-9
  • Type

    conf

  • DOI
    10.1109/ACC.2000.878671
  • Filename
    878671