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Proceedings Paper

Neural-network-based intelligent control for active stressed lap optical polishing process
Author(s): Li Yang; Minyou Chen; Yonggjian Wan; Mingyu Wang; Junhui Zhao; Bin Fan; Kaigui Xie
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Paper Abstract

A neural network based intelligent controller for an optical polishing machine with 60cm diameter active stressed lap has been developed. This paper briefly introduces the shape control strategy of the stressed-lap based optical polishing system. The dynamic change of the surface shape of the stressed lap during the operating process of polishing a large aspheric optical surface is investigated. The principle and structure of neural network based shape control system are discussed. The relationship between the stressed lap driven forces and surface shape is analyzed in detail. The original data from the micro displacement sensor matrix were used to train the neural network model. Simulation results show that the proposed control model can precisely produce the combined driven forces upon given surface shape of the stressed lap and improve the deformation precision.

Paper Details

Date Published: 21 May 2009
PDF: 7 pages
Proc. SPIE 7282, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 72823N (21 May 2009); doi: 10.1117/12.831066
Show Author Affiliations
Li Yang, Institute of Optics and Electronics (China)
Minyou Chen, Chongqing Univ. (China)
Yonggjian Wan, Institute of Optics and Electronics (China)
Mingyu Wang, Chongqing Univ. (China)
Junhui Zhao, Chongqing Univ. (China)
Bin Fan, Institute of Optics and Electronics (China)
Kaigui Xie, Chongqing Univ. (China)


Published in SPIE Proceedings Vol. 7282:
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies
Li Yang; John M. Schoen; Yoshiharu Namba; Shengyi Li, Editor(s)

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