標題: Control Design and Digital Implementation of a Fast 2-Degree-of-Freedom Translational Optical Image Stabilizer for Image Sensors in Mobile Camera Phones
作者: Wang, Jeremy H-S
Qiu, Kang-Fu
Chao, Paul C-P
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: optical image stabilizer (OIS);image blur;nonlinear equations of motion (EOMs);lead-lag controllers;field-programmable gate array (FPGA);mobile camera phones
公開日期: 1-十月-2017
摘要: This study presents design, digital implementation and performance validation of a lead-lag controller for a 2-degree-of-freedom (DOF) translational optical image stabilizer (OIS) installed with a digital image sensor in mobile camera phones. Nowadays, OIS is an important feature of modern commercial mobile camera phones, which aims to mechanically reduce the image blur caused by hand shaking while shooting photos. The OIS developed in this study is able to move the imaging lens by actuating its voice coil motors (VCMs) at the required speed to the position that significantly compensates for imaging blurs by hand shaking. The compensation proposed is made possible by first establishing the exact, nonlinear equations of motion (EOMs) for the OIS, which is followed by designing a simple lead-lag controller based on established nonlinear EOMs for simple digital computation via a field-programmable gate array (FPGA) board in order to achieve fast response. Finally, experimental validation is conducted to show the favorable performance of the designed OIS; i.e., it is able to stabilize the lens holder to the desired position within 0.02 s, which is much less than previously reported times of around 0.1 s. Also, the resulting residual vibration is less than 2.2-2.5 m, which is commensurate to the very small pixel size found in most of commercial image sensors; thus, significantly minimizing image blur caused by hand shaking.
URI: http://dx.doi.org/10.3390/s17102333
http://hdl.handle.net/11536/144067
ISSN: 1424-8220
DOI: 10.3390/s17102333
期刊: SENSORS
Volume: 17
Issue: 10
起始頁: 0
結束頁: 0
顯示於類別:期刊論文


文件中的檔案:

  1. 274bc078466ec312d060410c969fa29e.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。