• DocumentCode
    3075774
  • Title

    H[infinity] Robust Tracking Control for Periodic Disturbance Signal in Piston Machining Based on the Learning Feedforward Compensation

  • Author

    Lili, Liu ; Zun, Xu

  • Author_Institution
    Dept. of Electron. Inf. Eng., Suzhou Vocational Univ., Suzhou, China
  • fYear
    2011
  • fDate
    16-17 July 2011
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    A robustness tracking control scheme based on combining learning feed forward control (LFFC) with H∞ robust control is proposed for convexity variable ellipse piston linear servo system. On the basis of analyzing the disturbance signal of the system, LFFC based on B-spline network is designed to ensure that the system has fast tracking performance and implements exactly tracking. H∞ robust control as feedback controller can overcome influences of the uncertainties of the parameters perturbation, the load disturbances and so on to achieve the stability and robustness of the system. The simulation results show that the scheme not only can enhanced the fast tracking capability of the system, but also reduce the influence of the uncertainty disturbances.
  • Keywords
    H∞ control; feedback; feedforward; learning (artificial intelligence); linear systems; machining; periodic control; pistons; robust control; servomechanisms; uncertain systems; B-spline network; H∞ robust tracking control; LFFC; convexity variable ellipse piston linear servo system; feedback controller; learning feedforward compensation; load disturbance; parameter perturbation; periodic disturbance signal; piston machining; tracking performance; uncertainty disturbance; Feedforward neural networks; Force; Pistons; Robust control; Robustness; Servomotors; Spline; Convexity variable ellipse; learning feedforward control; periodic disturbance; robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Society (ISCCS), 2011 International Symposium on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4577-0644-8
  • Type

    conf

  • DOI
    10.1109/ISCCS.2011.77
  • Filename
    6004435