【摘要】 采用最小二乘法建立了加热炉的氧闭环控制模型，并用单神经元自适应ＰＩＤ控制器对氧浓度的偏差进行调节，增加了氧闭环控制的鲁棒性和自适应性，实现最优控制。结果表明，在加热炉传统的燃烧控制中加入氧闭环控制后，节约了大量的燃料更多还原

【Abstract】 O2 closedloop control is an necessary component of optimum combustion control of reheating furnace,but it is difficult to establish the O2 closedloop control model due to uncertainty and coupling of reheating furnaceThis paper presents a new method to establish the closedloop O2 control model with the least squares method,and the deviation of the O2 content is adjusted by singleneuron adaptive PID controller to increase robustness and selfadaptation,and O2 control optimization is achievedIndustrial experiments show that a lot amount of fuel is saved by adding the O2 closedloop control system to conventional combustion controlO2 closedloop control system has a wide application prospect due to its advantages更多还原