Design of Temperature Controlling System for CCD Based on DSP

Article Preview

Abstract:

CCD dark current is an important index of CCD properties effect, which emerges temperature drift phenomenon with the increasing temperatures. Because of the increasing temperature, CCD noise will increase exponentially. A temperature control device is designed based on DSP and fuzzy PID theory, which is composed of core control chip DSP320F28335, temperature control chip Thermal Electronic Cooler and temperature collecting chip DS18B20. Experiments show that the system can collect temperature timely and adjust temperature effectively. At the same time the system reach predetermined temperature in 2 minutes and error range is about 0.1°C.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 798-799)

Pages:

557-560

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] MIBENHEYE, CHEN Rongting, PengMeigui. CCD / CMOS image sensorFundamentals and Applications[M]. Beijing: Beijing Science Press, (2006).

Google Scholar

[2] SONG Min, GUI Xinkai, ZHENG Yaru. Comparison of Detection Performance in CCD and CMOS Image Sensor[J]. Semiconductor Optoelectronics, 2005, 26( 1) : 5-9.

Google Scholar

[3] MA Qingjun. Design of CCD circuit systems for ultraviolet limb imaging spectrometers [J], Optics and Precision Engineering , 2011, 7 (19) 1158 -1160.

Google Scholar

[4] DAI Liying, LIU Delin. Development of Back-illuminated Charge-coupled Device [J], Optoelecfronic Technology, 2005, 9 : 25-30.

Google Scholar

[5] ZOU Sicheng. Effect of Temperature and Other Factors on Performance of CCD Data Acquisition Circuit[J].  Astronomical Research & Technology 2006, 9 (3) : 275 -279.

Google Scholar

[6] HONG Jinhai. Constant Temperature System based on Thermal Electronic Cooler[J]. China High-Tech Enterprises. 2008(21): 67-68.

Google Scholar

[7] L. A. Zadeh. Fuzzy Set Information and Control. 1965, (8): 338-353.

Google Scholar

[8] R. M. Tong. The Evaluation of Fuzzy Models Derived from Experimental Data. Fuzzy Sets and Systems. 1980, (4): 1-12.

DOI: 10.1016/0165-0114(80)90059-7

Google Scholar

[9] HUANG Xiangdong. Design of Water Injection Flow Control System Based on Fuzzy Self-tuning PID [J]. Instrument Technique and Sensor. 2012, 6: 23-26.

Google Scholar