Image-based fuzzy control system

G. M. Chen, P. Z. Lin, W. Y. Wang, T. T. Lee, C. H. Wang

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A novel image-based fuzzy control (IBFC) scheme is developed to imitate the way humans use visual information to control objects. A CCD camera gathers images of the controlled plant, and a simple algorithm analyses the images. The proposed image analysis algorithm utilises image information more intuitively than visual servo control systems. The difference between a reference image and the current image is numerically expressed and directly used by a fuzzy control system using a human-like control law. To investigate the effectiveness of the proposed IBFC scheme, it is applied to control an inverted pendulum system. Simulation results show that the IBFC system can achieve favourable tracking performance without prior knowledge of the controlled plant.

Original languageEnglish
Pages (from-to)461-462
Number of pages2
JournalElectronics Letters
Volume44
Issue number7
DOIs
Publication statusPublished - 2008 Mar 31

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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