DocumentCode
2705109
Title
Model development, state estimation, and controller design of a nonlinear utility boiler system
Author
Aranda, Edward ; Frye, Michael ; Qian, Chunjiang
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX
fYear
2008
fDate
21-24 April 2008
Firstpage
1
Lastpage
6
Abstract
The purpose of this paper is to develop a dynamic nonlinear model and to design controller for the CPS Energy´s Spruce Unit # 1 natural circulation drum boiler. This nonlinear four state boiler model will be based on physical parameters obtained from construction data and steam tables. This model will be utilized to study the steady-state and dynamic behavior of the system. Then we develop an Unscented Kalman Filter (UKF) that is capable of estimating both measurable and non-measurable states. The UKF state estimates will be compared against the two measurable outputs of the system which are the drum water total, Vwt and drum pressure, p. The other two estimates will be compared against the two non-measurable states, which are the quality in the riser outlet, ar, and the steam volume under of liquid level in the drum, Vsd. Finally, a controller will be developed to regulate the states by solving an optimization problem with constraints. Computer simulations are also presented to illustrate effectiveness of our results.
Keywords
Kalman filters; boilers; control system synthesis; optimisation; CPS Energy´s Spruce Unit; UKF; Unscented Kalman Filter; construction data; controller design; natural circulation drum boiler; nonlinear utility boiler system; optimization problem; state estimation; steam tables; Boilers; Fuels; Geothermal power generation; Nonlinear control systems; Power system dynamics; Power system modeling; Power system reliability; State estimation; Transformers; Turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology, 2008. ICIT 2008. IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-1705-6
Electronic_ISBN
978-1-4244-1706-3
Type
conf
DOI
10.1109/ICIT.2008.4608412
Filename
4608412
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