热连轧冷却系统的模型预测控制

T. Hashimoto, Y. Yoshioka, T. Ohtsuka
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引用次数: 1

摘要

在热轧带钢轧机中,在带钢卷成卷之前,通过从顶部和底部向跳动台(ROT)喷水来冷却带钢。本文提出了一种用非线性偏微分方程(PDE)来描述带钢温度模型预测控制的设计方法,并通过对带钢冷却速度和温度的控制,使带钢获得理想的力学性能和金相组织。本文提出了一种新的框架,其中求解非线性优化问题的快速数值算法适用于一类非线性偏微分方程的模型预测控制。数值仿真验证了所提控制器和估计器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model predictive control for hot strip mill cooling system
In a hot strip mill, the strip is cooled by spraying water from top and bottom on the runout table (ROT), before the strip is coiled. The desired mechanical properties and metallurgical structure of the strip are achieved by controlling the cooling rate and temperature of the strip on the ROT. In this paper, we propose a design method of model predictive control for the temperature of the strip whose mathematical model is described by a nonlinear partial differential equation (PDE).We provide a novel framework in which a fast numerical algorithm for solving nonlinear optimization problem is applicable to the model predictive control for a class of nonlinear PDEs. The effectiveness of the proposed controller and estimator is verified by numerical simulations.
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