Neuro-fuzzy generalized predictive control of boiler steam temperature
Xiangjie LIU
Jizhen LIU
Ping GUAN
摘要：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.
机标关键词：superheated steampower planthigh efficiencycomplex systems
分类号：TP3(计算技术、计算机技术)
资助基金：北京市自然科学基金(4062030)国家自然科学基金(50576022;69804003)Scientific Research Common Program of Bcijing Municipal Commission of Education(KM200611232007)
论文发表日期：2007-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：6( 83-88 )
英文信息