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Embedded Measurement System of Two-dimensional Autocollimator based on FPGA
Gao, Xiang1; Hu, Xiaodong2; Yang, Donglai2; Zhang, Jian3; Gao, X (reprint author), Shaanxi Normal Univ, Coll Phys & Informat Technol, Xian, Shaanxi, Peoples R China.
2017
Conference Name3rd IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)
Source Publication2017 IEEE 3RD INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC)
Pages304-308
Conference Date2017-10-03
Conference PlaceChongqing, PEOPLES R CHINA
Publication PlaceNEW YORK
PublisherIEEE
Contribution Rank2
Abstract

For the miniaturization of two-dimensional autocollimator, a method of using embedded measurement system instead of special host computer is presented. This system integrates CMOS image sensor's driving circuit, frame processing, adaptive exposure control, centroid subdivision and localization of cross, misalignment angle calculation, display driver and other functions within a FPGA chip, and the sampling image and measurement results are displayed through the TFT-LCD mounted on the device body. The engineering prototype shows that the system has characters of high precision, high integration and high reliability.

KeywordTwo-dimensional Autocollimator Miniaturization Embedded Fpga
Subject AreaAutomation & Control Systems
Department光学定向与瞄准技术研究室
DOI10.1109/ITOEC.2017.8122304
Indexed ByEI ; ISTP
ISBN978-1-5090-5363-6
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/29889
Collection空间光学应用研究室
Corresponding AuthorGao, X (reprint author), Shaanxi Normal Univ, Coll Phys & Informat Technol, Xian, Shaanxi, Peoples R China.
Affiliation1.Shaanxi Normal Univ, Coll Phys & Informat Technol, Xian, Shaanxi, Peoples R China
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China
3.Beijing Inst Control & Elect Technol, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Gao, Xiang,Hu, Xiaodong,Yang, Donglai,et al. Embedded Measurement System of Two-dimensional Autocollimator based on FPGA[C]. NEW YORK:IEEE,2017:304-308.
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