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Integrating a model predictive control into a spray dryer simulator for a closed-loop control strategy

机译:将模型预测控制集成到喷雾干燥机模拟器中以进行闭环控制策略

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摘要

Despite the wide-spread applications of spray drying in the production of chemicals, food, and Pharmaceuticals, accurate control and development of this unit remains an elusive task because of the complex interactions of variables and phenomena. In this paper, we offer the development of a computationally efficient closed-loop system with a model predictive controller (MPC) where a computational fluid dynamics (CFD) process model is utilized to represent the process behavior. In particular, we present the development of an MPC and its implementation within the CFD model of a lab-scale spray dryer. Dynamic model is created with an adopted CFD model based on a 2D axisymmetric dryer, and Reaction Engineering Approach (REA)- as the drying kinetic method. Then, an MPC control strategy is designed using a linear approximation of a data-driven dynamic model and implemented within the CFD simulation as a user-defined function (UDF). We demonstrate the application of the developed MPC within the CFD simulation to address highly cross-coupled effects among different components of the dryer and guarantee desired product quality measures even in the presence of various disturbances. The proposed MPC embedded CFD modeling tool can serve as an efficient control strategy for other thermo-fluid systems as well.
机译:尽管在化学品,食品和制药生产中喷雾干燥的广泛应用,但由于变量和现象的复杂相互作用,本机的准确控制和发展仍然是一个难以捉摸的任务。在本文中,我们提供具有模型预测控制器(MPC)的计算上有效的闭环系统的开发,其中利用计算流体动力学(CFD)过程模型来表示过程行为。特别是,我们在实验室刻度喷雾干燥器的CFD模型中展示了MPC及其实施。用基于2D轴对称干燥机的采用的CFD模型创建动态模型,以及反应工程方法(REA) - 作为干燥动力学方法。然后,使用数据驱动动态模型的线性近似设计MPC控制策略,并在CFD仿真中实现为用户定义的函数(UDF)。我们展示了开发的MPC在CFD模拟中的应用,以解决干燥器的不同部件之间的高度交叉耦合效果,即使在各种干扰的存在下也能保证所需的产品质量措施。所提出的MPC嵌入式CFD建模工具也可以作为其他热流体系统的有效控制策略。

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