NDLI: Advanced control with fundamental and data-based modeling for falling film evaporators

Content Provider	IEEE Xplore Digital Library
Author	Haasbroek, A. Steyn, W.H. Auret, L.
Copyright Year	2013
Description	Author affiliation: Process Eng., Stellenbosch Univ., Stellenbosch, South Africa (Auret, L.) \|\| Electr. & Electron. Eng., Stellenbosch Univ., Stellenbosch, South Africa (Haasbroek, A.; Steyn, W.H.)
Abstract	Historical data from a falling film evaporator (FFE) was used to identify both fundamental and data based models without knowledge of the physical dimensions of the plant. The fundamental model showed the highest product dry mass (R) correlation to historical data (0.56) while the data based models struggled on validation data (R of 0.45). PI and LQR (linear quadratic regulator) control were designed with a Kalman estimator successfully used for state generation. The LQR solution provided better disturbance rejection, decreasing the maximum deviation in product dry mass by 60% when subjected to a feed disturbance. Both controllers outperformed operator control while keeping the process at optimal conditions.
Sponsorship	Ind. Electron. Soc.
Starting Page	46
Ending Page	51
File Size	336471
Page Count	6
File Format	PDF
ISBN	9781467345675
e-ISBN	9781467345699
e-ISBN	9781467345682
DOI	10.1109/ICIT.2013.6505646
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-02-25
Publisher Place	South Africa
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data models Dairy products Correlation Process control Temperature control Films dairy powder production falling film evaporator LQR system identification industrial control
Content Type	Text
Resource Type	Article

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