Paper Title:
Design of Ball-Beam Control System Based on Machine Vision
  Abstract

The nonlinear Ball-beam system combine with a CCD camera is studied in this paper. The images which include Ball-beam system and a ruler are collected by CCD sensor. The image is segmented using the adaptive image binarization threshold algorithm, and then the ruler, the ball position and the pointer position are extracted from the image. The ruler is scaled and the pointer position is also calculated. Finally, the value of pointer position is input into Ball-beam system as an expected ball balance position. A Fuzzy self-tuning PID controller and a BP neural network PID controller are designed for ball balance stable control. After experimental, the Ball-beam balance control in any position can be fulfilled using both of algorithms.

  Info
Periodical
Chapter
Chapter 7: Frontiers of Computer Applicated in Building
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4219-4225
DOI
10.4028/www.scientific.net/AMM.71-78.4219
Citation
X. H. Lv, Y. X. Liu, Y. Liu, H. Y. Huang, "Design of Ball-Beam Control System Based on Machine Vision", Applied Mechanics and Materials, Vols. 71-78, pp. 4219-4225, 2011
Online since
July 2011
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Price
$32.00
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