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Received:October 14, 2005Revised:October 14, 2006 |
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Neuro-fuzzy generalized predictive control of boiler steam temperature |
Xiangjie LIU, Jizhen LIU, Ping GUAN |
(Department of Automation, North China Electric
Power University , Beijing 102206, China;Department of Automation, Beijing Institute of Machinery, Beijing 100085, China) |
Abstract: |
Power plants are nonlinear and uncertain complex systems. Reliable
control of superheated steam temperature is necessary to ensure high
efficiency and high load-following capability in the operation of
modern power plant. A nonlinear generalized predictive controller
based on neuro-fuzzy network (NFGPC) is proposed in this paper. The
proposed nonlinear controller is applied to control the superheated
steam temperature of a 200MW power plant. From the experiments on
the plant and the simulation of the plant, much better performance
than the traditional controller is obtained. |
Key words: Neuro-fuzzy networks Generalized predictive control Superheated
steam temperature |