Title :
Research on control strategy of superheated steam temperature based on the soft-sensing of flue gas temperature at furnace outlet
Author :
Zheng Zhao ; Xiao-Xin Zou
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Abstract :
The flue gas temperature at furnace outlet is difficult to measure. In this paper, a soft-sensing model is constructed using the thermodynamic calculation formula of power plant station. However, due to the lack of actual measured signal, the soft-sensing result cannot be verified directly. In this study, indirect verification is used to validate the soft-sensing signal, which can well reflect the changes of boiler outlet flue gas temperature. As a result, a new control strategy of superheated steam temperature is designed. Simulations show that the proposed strategy can effectively overcome the disturbance of flue gas, and improve the control quality and the response speed.
Keywords :
flue gases; furnaces; temperature control; temperature measurement; temperature sensors; thermodynamics; flue gas temperature; flue gas temperature measurement; furnace outlet; power plant station; soft-sensing signal; superheated steam temperature control; thermodynamic calculation formula; Abstracts; Monitoring; Nitrogen; Temperature measurement; Temperature sensors; Thermodynamics; Waste materials; Flue gas temperature; Indirect verification; Soft-sensing model; Superheated steam temperature;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890381