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Model predictive control for continuous pharmaceutical feeding blending units
Chemical Engineering Research and Design ( IF 3.7 ) Pub Date : 2019-11-30 , DOI: 10.1016/j.cherd.2019.11.032
Selma Celikovic , Martin Kirchengast , Jakob Rehrl , Julia Kruisz , Stephan Sacher , Johannes Khinast , Martin Horn

This paper outlines several control strategies for a feeding blending unit in a continuous pharmaceutical manufacturing setup, with the goal of damping feeder fluctuations by adjusting the blender speed. An advanced model predictive control concept and two standard concepts, PI- and model-based feed-forward control, are described and compared with respect to their performance in the simulation. The concepts which showed satisfactory behaviour in the simulation are further tested on the real system. The paper also provides a detailed explanation of each implementation step in a real system, i.e., measurement device setup, signal processing, parameter identification and controller design. The properties of control concepts are compared and analysed, particularly in view of further work on the complete direct compaction line.



中文翻译:

连续喂药混合单元的模型预测控制

本文概述了连续制药生产设置中饲料混合单元的几种控制策略,其目的是通过调整搅拌器速度来降低饲料混合器的波动。描述了高级模型预测控制概念和两个标准概念,即基于PI和基于模型的前馈控制,并就它们在仿真中的性能进行了比较。在仿真中表现出令人满意的行为的概念将在实际系统上进一步测试。本文还提供了对实际系统中每个实现步骤的详细说明,即测量设备设置,信号处理,参数识别和控制器设计。对控制概念的特性进行了比较和分析,尤其是考虑到在完整的直接压实线上的进一步工作。

更新日期:2019-11-30
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