NDLI: Research in optimization method of technological parameters of CO2 refining system

Content Provider	IEEE Xplore Digital Library
Author	Lu Wei Yang Jianhua
Copyright Year	2011
Description	Author affiliation: Control Science and Engineering Department, Dalian University of Technology, Dalian, China (Lu Wei; Yang Jianhua)
Abstract	The instability of the concentration of CO2 in the system of CO2 refining is controlled by the following means: recognizing the system by neural net work; building the prediction model and the technological parameters optimization model of the system; predicting the key producing parameters which affect the concentration of CO2 the most; optimizing and controlling the key producing parameters by the PID control method and finally controlling the affect the concentration of CO2. These means overcame the defects of uncertainty of the key parameters and the average concentration of CO2 in 24 hours is controlled to 99.83%, which is 6.66% higher than that by regular PID control (93.17%). This neural network combined control method increased the stability of the system and complies with the standard of the national producing CO2 concentration.
Starting Page	2463
Ending Page	2466
File Size	358553
Page Count	4
File Format	PDF
ISBN	9781612844589
e-ISBN	9781612844596
DOI	10.1109/CECNET.2011.5768699
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Technological parameters optimization model Presses ANN Flash vaporization still Refining Poles and towers Artificial neural networks Prediction model Predictive models Modeling Optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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