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Application of Supervisory Model Predictive Controller in Polymer Extrusion Process

机译：监控模型预测控制器在聚合物挤出过程中的应用

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摘要

Polymer extrusion is a widely used industrial process that exists in almost all petrochemical industries as well as various other industrial applications. In order to achieve a high quality of end-product, it is crucial to precisely control the process conditions of the polymer throughout the extrusion process. In this paper, a brief description of the extrusion process and its main control loop are described. System identification of the gear melt pump is also illustrated which is considered as the most important equipment to be controlled within the extruder unit. In order to overcome the parameters and operating condition variations of the process a robust and adapted controller is required. Since the operators of the polymer extrusion process is familiar with classical PID controller. Therefore, the application of a Supervisory Model Predictive Controller (SMPC) is suggested and implemented to overcome the limitation of PID controller alone. SMPC is implemented under two cases; first when the traditional PID controller optimum gains are used to control the inner loop of the melt pump, and second when random PID controller gains are representing the change of process conditions. Finally, the results of both cases were illustrated, compared and discussed proving that the implementation of an SMPC indeed enhances the reliability of the process control algorithm.
机译：聚合物挤出是一种广泛使用的工业过程，几乎存在于所有石化行业以及各种其他工业应用中。为了获得高质量的最终产品，至关重要的是在整个挤出过程中精确控制聚合物的工艺条件。在本文中，简要介绍了挤出过程及其主要控制回路。还说明了齿轮熔体泵的系统识别，该系统被认为是在挤出机单元内要控制的最重要的设备。为了克服过程的参数和操作条件的变化，需要鲁棒且适应的控制器。由于聚合物挤出过程的操作员熟悉经典的PID控制器。因此，提出并实现了监督模型预测控制器（SMPC）的应用，以克服单独的PID控制器的局限性。 SMPC在以下两种情况下实施：首先，当传统的PID控制器的最佳增益用于控制熔体泵的内环时，其次，当随机的PID控制器的增益代表工艺条件的变化时。最后，对两种情况的结果进行了说明，比较和讨论，证明了SMPC的实现确实提高了过程控制算法的可靠性。

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