• DocumentCode
    3021303
  • Title

    Control of a constant turning force system via step-wise safe switching iterative feedback tuning

  • Author

    Koumboulis, Fotis N. ; Tzamtzi, Maria P. ; Economakos, Christoforos E.

  • Author_Institution
    Dept. of Autom., Halkis Inst. of Technol., Evia
  • fYear
    2008
  • fDate
    15-18 Sept. 2008
  • Firstpage
    1416
  • Lastpage
    1424
  • Abstract
    The performance of Multivariable Step-Wise Safe Switching Iterative Feedback Tuning is studied for a constant turning force system under varying cutting conditions. The tuning technique does not use a plantpsilas model, neither nonlinear or approximate linearized, and is based on specific experiments performed on the closed-loop plant. Controller parameter tuning aims to achieve minimization of a quadratic performance criterion, that limits cutting force deviations from a desired value, as cutting depth varies with time. A state feedback PI controller is combined with a state observer estimating the acceleration of the servomechanism feeding the cutting machine. The proposed tuning algorithm is shown through simulation results to improve the performance of ldquocommonrdquo controllers initially tuned through a metaheuristic search algorithm.
  • Keywords
    PI control; closed loop systems; cutting; cutting tools; feedback; iterative methods; machine tools; minimisation; multivariable control systems; search problems; servomechanisms; turning (machining); closed-loop plant model; constant turning force system; cutting force deviation; cutting machine; metaheuristic search algorithm; minimization; multivariable step-wise safe switching iterative feedback tuning; quadratic performance criterion; servomechanism; state feedback PI controller; tuning algorithm; Acceleration; Control systems; Force control; Force feedback; Linear approximation; Observers; Servomechanisms; State estimation; State feedback; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2008. ETFA 2008. IEEE International Conference on
  • Conference_Location
    Hamburg
  • Print_ISBN
    978-1-4244-1505-2
  • Electronic_ISBN
    978-1-4244-1506-9
  • Type

    conf

  • DOI
    10.1109/ETFA.2008.4638583
  • Filename
    4638583