Continuous Manufacturing using Linear Quadratic Regulator in the Context of Cyber-Physical Systems

Amelia Chindrus, D. Copot, C. Caruntu
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Abstract

Continuous manufacturing represents a flow production method in which the processed materials are in continuous movement between the interconnected operating units involved in the production process. This method has been adopted in many industries, e.g., electrical components, automotive or food production due to increased needs and higher quality of the resulting products. Continuous manufacturing is a first step towards transforming industrial processes into cyber-physical systems (CPSs). In case of pharma industry, recent studies revealed the benefits of transforming batch production into continuous manufacturing, related to product quality, lower fabrication costs and reduced production times. Among the advantages of continuous manufacturing, regardless of industry, is an increase in efficiency, enabled by maximum automation through the interconnection of operation units. As such, this paper proposes a control strategy based on Linear Quadratic Regulator (LQR) with Integral action (LQI) for the production of pharmaceutical tablets. Moreover, the control architecture has been extended by using an observer to estimate the unknown states of the system. The simulation results obtained on a Matlab/Simulink-based pilot plant and the performance analysis prove that this method is suitable for the dry granulation process.
在信息物理系统中使用线性二次调节器的连续制造
连续制造代表了一种流动生产方法,在这种方法中,被加工的材料在生产过程中涉及的相互关联的操作单元之间连续移动。由于需求的增加和产品质量的提高,这种方法已被许多行业采用,例如,电子元件,汽车或食品生产。连续制造是将工业过程转变为网络物理系统(cps)的第一步。就制药行业而言,最近的研究揭示了将批量生产转变为连续生产的好处,涉及产品质量,降低制造成本和缩短生产时间。无论行业如何,连续制造的优势之一是效率的提高,通过操作单元的互连实现最大程度的自动化。为此,本文提出了一种基于积分作用线性二次调节器(LQR)的片剂生产控制策略。此外,通过使用观测器来估计系统的未知状态,扩展了控制体系结构。基于Matlab/ simulink的中试装置仿真结果和性能分析表明,该方法适用于干法造粒工艺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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