电熔镁炉熔炼过程的智能设定值控制  

Intelligent setpoints control of smelting process of fused magnesium furnace

作　　者：吴志伟[1] 柴天佑[1] 付俊[1] 闫占伟[2] 

机构地区：[1]东北大学流程工业综合自动化教育部重点实验室,沈阳110819 [2]成都理工大学工程技术学院,四川乐山614000

出　　处：《控制与决策》2011年第9期1417-1420,共4页Control and Decision

基　　金：国家重点基础研究发展计划项目(2009CB320601);国家自然科学基金项目(61020106003;61004009)

摘　　要：电极电流值和极心圆直径是电熔镁砂生产过程中影响产品性能指标的两个重要参数,在传统工艺中由人工设定.由于生产过程中存在很多复杂特性,人工给定的设定值很难保证其准确性.针对这种情况,提出了基于案例推理、迭代学习、PI控制、神经网络和规则推理的参数混合智能设定方法.该方法成功应用于国内某电熔镁砂厂,应用效果表明了所提出方法的有效性.For the production of fused magnesia, electrodes currents and electrode circle diameter are two important parameters, which are high-related with the technical indices. As there are many complex characteristics in the production process, the setpoints of the two parameters provided by manual operations are often inappropriate, which often can degrade desired control accuracies. Therefore, the hybrid intelligent setting method is proposed by integrating the case- based reasoning（CBR）, iterative learning control（ILC）, PI control, neural network（NN） and rule based-reasoning（RBR）. The applications to the melting magnesia factory in China show the effectiveness of the proposed method.

关 键 词：电熔镁炉 电极电流设定值 极心圆直径设定值 智能算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]