Model-based adaptive predictive control with visual servo of a rotary crane system

Zhi Ren Tsai, Yau Zen Chang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

Abstract

This paper investigated the implementation of an adaptive predictive controller using nonlinear dynamic echo state neural (ESN) model for a rotary crane system by the visual servo method. The control sequences within the control horizon were described using cubic spline interpolation to enlarge the predictive horizon. Verification of the proposed scheme in the face of exogenous disturbances and modeling error with inaccurate string length was demonstrated by both simulations and experiments.

Original languageEnglish
Pages (from-to)169-174
Number of pages6
JournalJournal of Electronic Science and Technology
Volume16
Issue number2
DOIs
StatePublished - 06 2018

Bibliographical note

Publisher Copyright:
© 2018, Journal of Electronic Science and Technology.

Keywords

  • Adaptive predictive controller
  • Echo state neural (ESN) model
  • Exogenous disturbances
  • Modeling error
  • Rotary crane

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