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

نویسندگان

چکیده

Despite the wide-spread applications of spray drying in production chemicals, food, and pharmaceuticals, accurate control development this unit remains an elusive task because complex interactions variables phenomena. In paper, we offer a computationally efficient closed-loop system with model predictive controller (MPC) where computational fluid dynamics (CFD) process is utilized to represent behavior. particular, present MPC its implementation within CFD lab-scale dryer. Dynamic created adopted based on 2D axisymmetric dryer, Reaction Engineering Approach (REA)- as kinetic method. Then, strategy designed using linear approximation data-driven dynamic implemented simulation user-defined function (UDF). We demonstrate application developed address highly cross-coupled effects among different components dryer guarantee desired product quality measures even presence various disturbances. The proposed embedded modeling tool can serve for other thermo-fluid systems well.

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ژورنال

عنوان ژورنال: International Journal of Heat and Mass Transfer

سال: 2021

ISSN: ['1879-2189', '0017-9310']

DOI: https://doi.org/10.1016/j.ijheatmasstransfer.2021.121010