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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。
Due to the characteristics of multi-variable, time-varying, non-linear, coupled, large inertia and pure hysteresis, regenerative reheating furnace is the main problem of air-fuel ratio control in regenerative reheating furnace. Furnace air-fuel ratio changes in the complex industrial process analysis, a regenerative furnace air-fuel ratio control method is proposed to design a smart air-fuel ratio control system. Predicting calorific value with non-adaptive adaptive method, using fuzzy neural network to predict the residual oxygen of flue gas to solve the problem of signal lag or lead; using combustion and fuzzy model to control air-fuel ratio to solve multivariable, time-varying, nonlinear and coupling problems ; The control system was successfully applied to a steel company plate process, the results show that the prediction and control method is simple and feasible, the system is stable and reliable, and achieved good results.