Skip Nav Destination
ASME Press Select Proceedings
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
175 Ozone Concentration and Ultraviolet Radiation Intensity Control System Design
By
Yan-juan Guo
,
Yan-juan Guo
College of Biomedical Engineering and Instrument Science,
Zhejiang University
, Hangzhou,
China
, 310027
Search for other works by this author on:
Xiao-ping Lu
,
Xiao-ping Lu
College of Biomedical Engineering and Instrument Science,
Zhejiang University
, Hangzhou,
China
, 310027
Search for other works by this author on:
Lei Cui
,
Lei Cui
College of Biomedical Engineering and Instrument Science,
Zhejiang University
, Hangzhou,
China
, 310027
Search for other works by this author on:
Zhang Lin
,
Zhang Lin
College of Biomedical Engineering and Instrument Science,
Zhejiang University
, Hangzhou,
China
, 310027
Search for other works by this author on:
Jing-kui Tian
Jing-kui Tian
College of Biomedical Engineering and Instrument Science,
Zhejiang University
, Hangzhou,
China
, 310027
Search for other works by this author on:
Page Count:
5
-
Published:2011
Citation
Guo, Y, Lu, X, Cui, L, Lin, Z, & Tian, J. "Ozone Concentration and Ultraviolet Radiation Intensity Control System Design." International Conference on Computer Technology and Development, 3rd (ICCTD 2011). Ed. Zhou, J. ASME Press, 2011.
Download citation file:
Ozone concentration and ultraviolet radiation intensity as the plants important stress factors are more and more widely applied in the study. But uv light continuously release ozone which can cause ozone concentration variable, this cannot satisfy the requirements of the single factor in some experiments. Therefore, the real-time measurement and control of the two environmental factors are particularly important. This paper designs a system based on 1C/OS-II embedded operating system and chooses LPC2478 of ARM7 series as microprocessor. Through the fuzzy adaptive PID algorithm, ozone concentration is realized real-time control. Compared with the traditional PID, the control accuracy is improved.
Abstract
Keywords
I. Introduction
II. Hardware System Design
III. Software System Design
IV. Fuzzy PID Controller Design
V. Result
VI. Summaries
References
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
Spice Model on High Frequency Vibration for CMUT Application
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
Fabrication of MSM UV Detector Using ZnO Nanowires
International Conference on Computer and Electrical Engineering 4th (ICCEE 2011)
Energy Balance for a Swimming Pool
Electromagnetic Waves and Heat Transfer: Sensitivites to Governing Variables in Everyday Life
Exposure to Solar Ultraviolet Radiation on Earth
Electromagnetic Waves and Heat Transfer: Sensitivites to Governing Variables in Everyday Life
Related Articles
Decentralized Feedback Control of Pumping Losses and NO x Emissions in Diesel Engines
J. Eng. Gas Turbines Power (October,2018)
High-Precision Control for Magnetically Suspended Rotor of a DGMSCMG Based on Motion Separation
J. Eng. Gas Turbines Power (July,2015)
Optimal Design and Analysis of NIOFPID-Based Direct Power Control to Strengthen DFIG Power Control
J. Dyn. Sys., Meas., Control (September,2018)