DocumentCode :
2462217
Title :
Fuzzy PID Control of Temperature and Humidity in Tissue Culture Laboratory
Author :
Chun-yan, Deng ; Sheng-tao, Liu ; Fang, Chen ; Hai-fang, Wang ; Cui-Fen, Lun ; Lei, Sun
Author_Institution :
Coll. of Mech. & Electron. Eng., Hebei Normal Univ. Sci. & Technol., Qinhuangdao, China
Volume :
2
fYear :
2010
fDate :
16-17 Dec. 2010
Firstpage :
216
Lastpage :
219
Abstract :
Tissue culture lab is a place of culturing vaccination materials in the process of breeding. Measurement and control of temperature, humidity and illumination is the essential condition. In order to meet the parameters requirements of automatic control of the laboratory, according to the status quo and requirement of temperature and humidity in Tissue Culture Room, a method of combination fuzzy control with PID Control is adopted. It may strength and minimizes their corresponding weaknesses. The system not only has the advantages of flexible fuzzy control and good adaptability, but also has the prominent characteristics of high reliability and good stability of PID. After Completing control system development of temperature and humidity in Tissue Culture Room, From The test results and system output curves, we may draw a conclusion that the system adopts different controls in the different settings. It not only meets the design requirement, but also has better Real-time Capability and Robustness, the system also has a preferable control effectiveness for the temperature and humidity in tissue culture laboratory. The paper mainly introduces the Realization of Fuzzy PID Control of Temperature and Humidity.
Keywords :
biological tissues; fuzzy control; humidity control; laboratory techniques; temperature control; three-term control; automatic control; breeding; fuzzy PID control; humidity control; reliability; stability; temperature control; tissue culture laboratory; vaccination materials; Fuzzy control; Humidity; Process control; Temperature; Temperature control; Temperature measurement; Control of Temperature and Humidity; Fuzzy control; PID; Tissue culture lab;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
Type :
conf
DOI :
10.1109/GCIS.2010.162
Filename :
5709254
Link To Document :
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