DocumentCode :
3477618
Title :
Multiple Models Generalized Predictive Control for Superheated Steam Temperature Based On MLD Model
Author :
Zhang, Lijing ; Zhang, Yue ; Wang, Dongfeng ; Xu, Daping
Author_Institution :
North China Electr. Power Univ., Baoding
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
2740
Lastpage :
2743
Abstract :
In view of the features of superheated steam temperature system in the power plant, with the models of controlled object under different circumstances, a multiple models modeling method based on mixed logical dynamical (MLD) model is given, and the GPC for the MLD is put forward, its stability is also discussed. The control algorithm is simple and more adaptable for the change of circumstance, also can avoid the disturbance of controllers´ switch while using the common method. Considering the main steam temperature plant of a supercritical once-through 600MW boiler, the simulation is done to validate the control strategy. The result show the method has a strong robustness and better tracking performance, the satisfying control of the total operating conditions is also realized.
Keywords :
boilers; power station control; predictive control; stability; steam plants; controller disturbance; mixed logical dynamical model; multiple models generalized predictive control; power plant; superheated steam temperature system; Automation; Linear programming; Logic; Power generation; Power system modeling; Predictive control; Predictive models; Robust control; Switches; Temperature control; Generalized predictive control; Integer Programming; Mixed logical dynamical model; Multiple models; Superheated steam temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4339046
Filename :
4339046
Link To Document :
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