Neural-network-based intelligent control for active stressed lap optical polishing process

Li Yang; Minyou Chen; Yonggjian Wan; Mingyu Wang; Junhui Zhao; Bin Fan; Kaigui Xie

doi:10.1117/12.831066

20 May 2009 Neural-network-based intelligent control for active stressed lap optical polishing process

Li Yang, Minyou Chen, Yonggjian Wan, Mingyu Wang, Junhui Zhao, Bin Fan, Kaigui Xie

Proceedings Volume 7282, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies; 72823N (2009) https://doi.org/10.1117/12.831066
Event: AOMATT 2008 - 4th International Symposium on Advanced Optical Manufacturing, 2008, Chengdu, Chengdu, China

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.

Citation Download Citation

Li Yang, Minyou Chen, Yonggjian Wan, Mingyu Wang, Junhui Zhao, Bin Fan, and Kaigui Xie "Neural-network-based intelligent control for active stressed lap optical polishing process", Proc. SPIE 7282, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 72823N (20 May 2009); https://doi.org/10.1117/12.831066

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