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An intelligent optimization control method for the electrode current of submerged arc furnaces based on case reasoning
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering ( IF 1.4 ) Pub Date : 2020-04-06 , DOI: 10.1177/0959651820906000
Jianjun He 1 , Chang Wang 1 , Qi Zhu 1 , Ling Shen 1 , Mande Jing 2 , Weihua Gui 1
Affiliation  

Due to the nonlinearity, strong coupling, and time-varying characteristics of three-phase electrode lift system of submerged arc furnace, the existing manual operation has the problems of electrode control hysteresis, poor balance of three-phase electrode current, and blindness of electrode current target setting. An intelligent optimization control method for the electrode current of submerged arc furnace based on case reasoning is proposed in this article, which is used to realize the automatic control of the electrode control system of the submerged arc furnace. First, the optimization model of electrode current setting value of the submerged arc furnace is established by the case-based reasoning method, and the corresponding electrode current value is calculated to maximize the yield in the safe power range of the furnace. Next, a three-phase electrode current decoupling controller is designed based on fuzzy rules. Finally, an intelligent optimization control system of three-phase electrode current of submerged arc furnace is designed and its superiority is verified by comparison with the proportional–integral–derivative controller. The designed control system has been applied to the smelting production of submerged arc furnace in a domestic smelter. The simulation and industrial operation results show that the system realizes automatic balance adjustment of electrode current of submerged arc furnace under normal working conditions, which greatly reduces the labor intensity of the operator, increases the smelting yield, reduces the unit energy consumption, and brings significant economic and social benefits to the enterprise.

中文翻译:

基于案例推理的矿热炉电极电流智能优化控制方法

由于矿热炉三相电极升降系统的非线性、强耦合、时变特性,现有的人工操作存在电极控制滞后、三相电极电流平衡性差、电极盲目性等问题。当前目标设置。本文提出了一种基于案例推理的矿热炉电极电流智能优化控制方法,用于实现矿热炉电极控制系统的自动控制。首先,通过案例推理法建立矿热炉电极电流设定值的优化模型,计算出相应的电极电流值,在炉子的安全功率范围内使产量最大化。下一个,基于模糊规则设计了三相电极电流解耦控制器。最后,设计了一种矿热炉三相电极电流智能优化控制系统,并通过与比例积分微分控制器的对比验证了其优越性。所设计的控制系统已应用于国内某冶炼厂矿热炉的冶炼生产。仿真和工业运行结果表明,该系统在正常工况下实现了矿热炉电极电流的自动平衡调节,大大减轻了操作人员的劳动强度,提高了冶炼产量,降低了单位能耗,带来了显着的效益。为企业带来经济效益和社会效益。
更新日期:2020-04-06
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