Title :
Study on the Coordination Control of Pressure in the Boiler Tube of the Mother Tube Boiler
Author :
Qing-Kun Song;Xiao Han
Author_Institution :
Sch. of Autom., Harbin Univ. of Sci. &
Abstract :
Because of the mother tube boiler will still exist a long time in the future, so this paper deals withe the mother tube pressure coordination control of the mother tube boiler. The objective is to propose a new evaluation scheme of boiler which based on the ratio of the opening of the coal to the boiler load method to describe the state of the boiler. The advantages and feasibility of this method are analyzed in this paper, and the adaptive Hopfield neural networks is adopted to optimize the load distribution calculation, we make integration of the new evaluation scheme and neural network, then train the neural network, finally through the Hopfield neural network optimization capabilities to obtain the optimal allocation result, and the correctness of the allocation scheme is illustrated.
Keywords :
"Boilers","Hopfield neural networks","Electron tubes","Coal","Adaptive systems","Optimization","Resource management"
Conference_Titel :
Computer and Computing Science (COMCOMS), 2015 3rd International Conference on
Print_ISBN :
978-1-4673-9632-5
DOI :
10.1109/COMCOMS.2015.9