Title :
Parameter identification of a superheater boiler system based on Wiener-Hammerstein model using maximum likelihood method
Author :
Haryanto, Ade ; Turnip, Arjon ; Hong, Keum-Shik
Author_Institution :
Sch. of Mech. Eng., Pusan Nat. Univ., Busan, South Korea
Abstract :
In this paper, parameter identification based on Wiener-Hammerstein models were proposed for main steam temperature in a superheater system of a thermal power plant. Two approaches of identification methods were evaluated. One based on prediction error, and the other was based on maximum likelihood method. The effectiveness was confirmed through simulation studies.
Keywords :
boilers; maximum likelihood estimation; thermal power stations; Wiener-Hammerstein model; maximum likelihood method; parameter identification; prediction error; steam temperature; superheater boiler system; thermal power plant; Boilers; Maximum likelihood estimation; Mechanical engineering; Nonlinear dynamical systems; Parameter estimation; Power generation; Power system modeling; Predictive models; Temperature; Testing;
Conference_Titel :
Asian Control Conference, 2009. ASCC 2009. 7th
Conference_Location :
Hong Kong
Print_ISBN :
978-89-956056-2-2
Electronic_ISBN :
978-89-956056-9-1
