Funnel-control with online foresight

  • Authors:
  • C. M. Hackl;Dierk Schröder

  • Affiliations:
  • Technical University of Munich, Munich, Germany;Technical University of Munich, Munich, Germany

  • Venue:
  • MIC '07 Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control
  • Year:
  • 2007

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Abstract

This paper presents two approaches to optimize a recent non-identifier based time-varying adaptive control strategy -- Funnel--Control. The gain is adapted by weighting the distance between the actual control error and a predefined (decreasing) function -- the Funnel boundary -- representing the desired limit of the error evolution. Measurement noise is admissible. Within this publication the control strategy is improved twice: a) By defining a scaling function only increasing the gain for more accurate and faster control performance b) By introducing an analytic, a numeric and a derivative implementation of the minimal (future) distance -- an online foresight for the control task, which guarantees accelerated control at efficient use of the control input.