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Temperature optimal control of the casting billet induction heating process based on the BP prediction model

机译:基于BP预测模型的铸坯感应加热温度优化控制。

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It's difficult to achieve the target temperature control for the continuous casting billet with regular voltage control curve in electromagnetic induction heating process of hot rolling production line. This paper first analyzed billet electromagnetic induction heating mechanism, determined the factors which caused the billet temperature rise, and applied artificial neural network to establish the temperature prediction model. Then, with decoupling the relationship between the billet heating conditions and the voltage curve, this paper applied the random search method to optimize the voltage control curve based on the prediction model. Finally, the actual trial showed that the optimized voltage control curve could achieve a high precision control of the target temperature.
机译:在热轧生产线的电磁感应加热过程中,很难以规则的电压控制曲线实现连铸坯的目标温度控制。本文首先分析了坯料的电磁感应加热机理,确定了引起坯料温度升高的因素,并应用人工神经网络建立了温度预测模型。然后,在解耦钢坯加热条件与电压曲线之间的关系的基础上,应用随机搜索方法,基于预测模型对电压控制曲线进行了优化。最后,实际试验表明,优化的电压控制曲线可以实现对目标温度的高精度控制。

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