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Proceedings Paper

Learning control of optical lens machining
Author(s): Ming-Yuan Liu; Chun-Rong Ji; Ji-Ning Xu; Lin-Sen Yang
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Paper Abstract

Taking account of different influences of pressure, rocker amplitude and rocker center angle upon polishing quality for optical lens, a fuzzy self-learning algorithm based on semantic inference is developed and a prediction system is built up with the adjustment of membership function. The introduction of the intellective control makes the polishing process be less influenced by other technological parameters than the conventional method.

Paper Details

Date Published: 21 November 1995
PDF: 8 pages
Proc. SPIE 2596, Modeling, Simulation, and Control Technologies for Manufacturing, (21 November 1995); doi: 10.1117/12.227226
Show Author Affiliations
Ming-Yuan Liu, Xi'an Jiaotong Univ. (China)
Chun-Rong Ji, Xi'an Jiaotong Univ. (China)
Ji-Ning Xu, Xi'an Jiaotong Univ. (China)
Lin-Sen Yang, Xi'an Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 2596:
Modeling, Simulation, and Control Technologies for Manufacturing
Ronald Lumia, Editor(s)

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