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开发并应用先进的模型预测控制系统于连续式压片机药物片剂压制过程中。

Development and implementation of an advanced model predictive control system into continuous pharmaceutical tablet compaction process.

机构信息

Engineering Research Center for Structured Organic Particulate Systems (ERC-SOPS), Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.

Engineering Research Center for Structured Organic Particulate Systems (ERC-SOPS), Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.

出版信息

Int J Pharm. 2017 Dec 20;534(1-2):159-178. doi: 10.1016/j.ijpharm.2017.10.003. Epub 2017 Oct 3.

Abstract

In the context of continuous pharmaceutical oral dosage manufacturing, a control system is essential to ensure that the critical quality attributes (CQAs) are maintained within the regulatory constraints by mitigating variations generated in upstream operations. Such a system is essential to the Quality by Design (QbD) paradigm shift, which can ensure that predefined end quality attributes are achieved within an optimal economic and time bracket. In this work, an advanced model predictive control (MPC) architecture integrated with a novel real-time tablet weight measurement method has been development and implemented into a continuous direct compaction tablet manufacturing pilot-plant. The proposed control architecture has the potential to control tablet weight and tablet breaking force simultaneously by systematically decoupling and cascading the control loops. The model predictive control algorithm was experimentally found to be superior to the PID (proportional, integral and derivative) controller and thus, can be utilized for a wide range of applications to improve the quality of pharmaceutical products in continuous manufacturing. The MPC was used to control main compression force and pre compression force using main compression height and fill depth respectively as the actuators. The introduction of this methodology leads to new ways of developing MPC models, tablet weight measurement methods and control strategies that enhance the manufacturability and quality of pharmaceutical tablets.

摘要

在连续制药口服剂量生产的背景下,控制系统对于确保关键质量属性(CQAs)在监管限制范围内至关重要,通过减轻上游操作产生的变化。这样的系统对于质量源于设计(QbD)范式转变至关重要,它可以确保在最佳的经济和时间范围内实现预定的最终质量属性。在这项工作中,已经开发并实施了一种先进的模型预测控制(MPC)架构,该架构集成了一种新颖的实时片剂重量测量方法,用于连续直接压缩片剂制造中试工厂。所提出的控制架构具有通过系统地解耦和级联控制回路来同时控制片剂重量和片剂断裂力的潜力。实验发现,模型预测控制算法优于 PID(比例、积分和微分)控制器,因此可广泛应用于提高连续制造中药物产品的质量。使用主压缩高度和填充深度分别作为执行器,MPC 用于控制主要压缩力和预压缩力。该方法的引入为开发 MPC 模型、片剂重量测量方法和控制策略提供了新途径,从而提高了药物片剂的可制造性和质量。

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