Image-based fuzzy control system

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

doi:10.1049/el:20080057

Image-based fuzzy control system

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

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	461-462
Number of pages	2
Journal	Electronics Letters
Volume	44
Issue number	7
DOIs	https://doi.org/10.1049/el:20080057
Publication status	Published - 2008

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/el:20080057

Cite this

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AU - Lee, T. T.

AU - Wang, C. H.

PY - 2008

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AB - 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.

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Image-based fuzzy control system

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