摘要
针对蓄热式加热炉具有多变量、时变、非线性、耦合、大惯性和纯滞后等特点,当前对于蓄热式加热炉的空燃比控制主要还是人工操作完成的问题,通过对蓄热式加热炉空燃比变化这一复杂的工业过程的分析,提出了一种蓄热式加热炉空燃比控制方法,设计了一个基于智能的空燃比控制系统。用无辨识自适应方法预测热值,用模糊神经网络预测烟气残氧量,解决信号滞后或超前的问题;用燃烧和模糊模型控制空燃比,解决多变量、时变、非线性和耦合问题;并将该控制系统成功应用于某钢铁公司中板工序,运行结果表明,预测和控制方法简单可行,系统稳定可靠,取得了良好的应用效果。
Heating furnace remaining oxygen control has a direct impact on steel qualities and energy consumptions in a steel rollingprocess, this multi-variable process is time-varying, and also has inherent nonlinearities, couplings among the variables, large inertias and time delays. Therefore, manual operations are still being widely used in the furnace remaining oxygen control. In this paper, a structure is proposed for furnace remaining oxygen control. Calorific value and remaining oxygen are predicted by model which is self-adaption or fuzzy neural network. Air-fuel ratio is real-time controlled with the combination of the mathematical model calculating air-fuel ratio and fuzzy control to control residual oxygen. The proposed intelligent control method has been successfully applied to some steel plant. The industrial applications verify the effectiveness of the proposed method.
出处
《控制工程》
CSCD
北大核心
2011年第5期703-706,共4页
Control Engineering of China
基金
国家863高技术研究计划项目(2007AA041405)
国家自然科学基金资助项目(60821063
60828007)
关键词
蓄热式加热炉
空燃比控制
混合智能
残氧量
regenerative heating furnaces
air-fuel ratio control
hybrid intelligent control
remaining oxygen
