The Application of Fuzzy Neural Network to Boiler Steam Pressure Control
The control effect of steam pressure is one of the most important factors influencing stability in chain type boiler. Aimed at the problem that the control of steam pressure is restricted by many factors, a kind of fuzzy neural network (FNN) is presented in this paper. The controller has the advantage of self-adapting, self-learning and tuning on-line. In simulation, this system exerts stably, with a less effect of uncertain factors, so it has a perfect control effect to main steam pressure systems of boiler.
Keywords: chain furnace; Fuzzy neural network; steam pressure controller
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ABOUT THE AUTHOR
Lei Wang
Lei Wang received the B.S. degrees from Hebei institute of technology of department automation, Tangshan, China, in 2003. Currently she is an Assistant Professor at the Tangshan college, Tangshan, China.
Lei Wang
Lei Wang received the B.S. degrees from Hebei institute of technology of department automation, Tangshan, China, in 2003. Currently she is an Assistant Professor at the Tangshan college, Tangshan, China.
