Neuro-fuzzy generalized predictive control of boiler steam temperature |
| |
Authors: | Xiangjie LIU Jizhen LIU Ping GUAN |
| |
Affiliation: | 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. |
| |
Keywords: | Neuro-fuzzy networks Generalized predictive control Superheated
steam temperature |
|
| 点击此处可从《控制理论与应用》浏览原始摘要信息 |
|
点击此处可从《控制理论与应用》下载全文 |
|