【摘要】 炼钢电弧炉是利用电能来炼钢的，可是输入炉内的电功率大小是靠三根电极位置来决定的。一个神经网络控制系统能学习预测电极位置和炉子工作稳定性之间关系。实时自适应炉况状态的变化，使该系统能提高炉子生产率、降低电能消耗及电极消耗。能实现老式调节器从未达到的电弧连续稳定燃烧更多还原

【Abstract】 Steel making arc furnace uses electric power to melt steel.The amount of power put into the metal scrap is controlled by positioning three electrodes.A neural network control system can learn to predict the relationships between electrode position and stability of furnace operation.Real time adaption to the changes of furnace conditions can increase productivity,reduce electric energy and electrode consumptions,and achieve an unprecedented smooth melt. : Steel making arc furnace uses electric power to melt steel.The amount of power put into the metal scrap is controlled by positioning three electrodes.A neural network control system can learn to predict the relationships between electrode position and stability of furnace operation.Real time adaption to the changes of furnace conditions can increase productivity,reduce electric energy and electrode consumptions,and achieve an unprecedented smooth melt.更多还原