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Modelling and Control of a Continuous Vibrated Fluidized Bed Dryer in Pharmaceutical Production

机译:在药物生产中连续振动流化床干燥器的建模与控制

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Pharmaceutical tablets are still largely produced using batch processes, at which the production line is divided into successive sub-processes. In order to reduce product waste and production time and to increase the flexibility of tablet production, the Food and Drug Administration (FDA), among others, promotes research and innovations in the field of continuous production for the manufacturing of pharmaceuticals. The QbCon1 unit developed by L.B. Bohle Maschinen +Verfahren GmbH is one of the research field innovations. The plant combines all three necessary process steps of continuous raw material dosing (premix of excipients and active ingredients), twin-screw wet granulation and fluid bed drying to enable continuous wet granulation and drying of the tableting mixture. In this article, the continuous fluid bed dryer is firstly presented. Subsequently, a continuum based model is developed for the drying process. The aim is to develop a model that can be used for model-based product quality control. From a control engineering point of view, this is a multi-variable problem, since different process variables (e.g. drying air temperature, air mass flow, conveying speed of the granules) have an influence on the drying process. The control of the Process Variables (PVs) is carried out with the aid of standard industrial PID controllers. The tuning and validation of PVs controllers is based on empirical investigations or using developed actuation models. Finally, a concept for the control of one of the process main critical quality attributes (CQAs), namely the tablet mixture moisture content, is presented with the aid of a model based controller approach. The model constructed for the drying process has shown a good match to the real process with a maximum of 1.18% prediction standard deviation from the experimentally measured mean moisture content. Moreover, the model based controller approach feasibility is demonstrated using a closed loop simulation of an implemented Nonlinear Model Predictive Controller (NMPC).
机译:药片仍然在很大程度上使用批次方法生产,其中生产线分为连续的子方法。为了减少产品废物和生产时间并增加平板电脑生产的灵活性,食品和药物管理局(FDA)等,其中促进了制造制造业的持续生产领域的研究和创新。由L.B开发的QBCON1单元。 Bohle Maschinen + Verfahren GmbH是研究现场创新之一。该植物结合了连续原料剂量的所有三个必要的工艺步骤(赋形剂和活性成分的预混物),双螺杆湿造粒和流化床干燥,以实现连续湿造粒和压片混合物的干燥。在本文中,首先呈现连续流化床烘干机。随后,开发了基于连续的模型用于干燥过程。目的是开发一种可用于基于模型的产品质量控制的模型。从控制工程的角度来看,这是一个多变量的问题,因为不同的过程变量(例如干燥空气温度,空气质量流量,颗粒的输送速度)对干燥过程有影响。借助标准工业PID控制器执行处理变量(PVS)的控制。 PVS控制器的调谐和验证基于经验研究或使用开发的致动模型。最后,借助于基于模型的控制器方法,提出了一种控制过程主要关键质量属性(CQAS),即平板电脑混合含量的概念。为干燥过程构造的模型显示出与实验性平均水分含量的最大预测标准偏差的实际过程的良好匹配。此外,使用所实现的非线性模型预测控制器(NMPC)的闭环仿真对基于模型的控制器方法可行性。

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