Study on Mould Level and Casting Speed Coordination Control Based on ADRC with DRNN Optimization
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摘要: 结晶器内钢水液位和铸坯拉速机理上是耦合关系. 为能控制更合理的钢水节奏, 提出了不同于现在各自单变量控制的液位和拉速综合控制方法. 通过实际对象, 从机理角度推出模型, 然后基于神经网络整定的自抗扰控制 (ADRC) 算法, 对结晶器液位拉速协调控制系统进行仿真试验. 仿真结果和现场曲线对该控制模型的准确性, 可行性和有效性进行了验证.Abstract: There is a coupled relationship between mould level and casting speed according to mechanism analysis. In order to control molten steel, coordination control of mould level and casting speed is presented, which differs from single variable control. The paper depends upon a real object to get the mechanism model, and then simulates the coordination control system based on active disturbance rejection control (ADRC) with diagonal recurrent neural networks (DRNN) optimization. Simulations and curves on the spot show the veracity, feasibility and validity of this control model.
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