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Robust tracking and vibration suppression for nonlinear two-inertia system via modified dynamic surface control with error constraint

  • Shubo Wang
  • , Xuemei Ren*
  • , Jing Na
  • , Xuehui Gao
  • *Corresponding author for this work

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    16 Citations (Scopus)
    566 Downloads (Pure)

    Abstract

    This paper proposes a modified dynamic surface control (DSC) for speed tracking and torsional vibration suppression for two-inertia systems with nonlinear friction. The proposed controller contains two parts: tracking controller and friction compensator. The tracking controller is designed by modifying dynamic surface control, which replaces the traditional first-order filter with a high-gain tracking differentiator (HGTD). Meanwhile, an improved prescribed performance function with error constraint is also presented and incorporated into DSC design. As for the friction compensator, the nonlinear nonsmooth friction is parameterized and then compensated using echo state neural networks (ESNs). The state observer with friction compensation is used to estimate unmeasurable load speed and torsional torque. The effectiveness of proposed control scheme is verified by simulation and experiment results.

    Original languageEnglish
    Pages (from-to)73-85
    Number of pages13
    JournalNeurocomputing
    Volume203
    Early online date6 May 2016
    DOIs
    Publication statusPublished - 26 Aug 2016

    Keywords

    • Dynamic surface control
    • Friction compensation
    • Prescribed performance constraint
    • Two-inertia system
    • Vibration suppression

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