Advanced Model Predictive Feedforward/Feedback Control of a Tablet Press

被引:20
作者
Haas, Nicholas Townsend [1 ]
Ierapetritou, Marianthi [1 ]
Singh, Ravendra [1 ]
机构
[1] Rutgers State Univ, Dept Chem & Biochem Engn, Engn Res Ctr Struct Organ Particulate Syst C SOPS, Piscataway, NJ 08854 USA
基金
美国国家科学基金会;
关键词
MPC; PID; Feedforward control; Feedback control; Tablet press; Continuous pharmaceutical manufacturing; FORWARD/FEED-BACK CONTROL; CONTROL-SYSTEM; BATCH; DESIGN; IMPLEMENTATION; PURIFICATION;
D O I
10.1007/s12247-017-9276-y
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
In continuous pharmaceutical manufacturing, real-time precise control of critical quality attributes (CQAs) is necessary for quality by design (QbD)-based manufacturing and real-time release (RTR) with minimum consumption of time, space, and resources. Pharmaceutical tablets can be produced through different routes with a common tablet press unit operation always placed at the end of the manufacturing process. Therefore, the tablet press is a crucial unit operation directly influencing the CQAs irrespective of manufacturing routes. Despite this, little attention has been paid to the development of an advanced efficient control system for the tablet press. Process modeling can be used as an efficient virtual experimentation tool to design, compare, and evaluate different control systems. We developed a model in Simulink (Mathworks) that includes two master control loops for tablet weight and hardness and a slave feedback loop controlling the compaction force applied to each tablet. We examined the performance of different control strategies based on proportional integral derivative (PID) control and model predictive control (MPC), as well as feedforward/feedback control. We found that a hybrid MPC-PID control strategy outperforms the PID-only control strategy. We also observed that the addition of a feedforward controller further improves the performance of the hybrid MPC-PID control strategy.
引用
收藏
页码:110 / 123
页数:14
相关论文
共 37 条
[1]  
Astrom K., 1993, Control Eng. Pract, V1, P669
[2]   The future of PID control [J].
Åström, KJ ;
Hägglund, T .
CONTROL ENGINEERING PRACTICE, 2001, 9 (11) :1163-1175
[3]   Process design and control of a twin screw hot melt extrusion for continuous pharmaceutical tamper-resistant tablet production [J].
Baronsky-Probst, J. ;
Moeltgen, C. -V. ;
Kessler, W. ;
Kessler, R. W. .
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2016, 87 :14-21
[4]   Model predictive control during the primary drying stage of lyophilisation [J].
Daraoui, N. ;
Dufour, P. ;
Hammouri, H. ;
Hottot, A. .
CONTROL ENGINEERING PRACTICE, 2010, 18 (05) :483-494
[5]  
Dejardin N, 2005, IFAC P, V38, P91
[6]   Control engineering in drying technology: Review and trends [J].
Dufour, P. .
DRYING TECHNOLOGY, 2006, 24 (07) :889-904
[7]   MODEL PREDICTIVE CONTROL - THEORY AND PRACTICE - A SURVEY [J].
GARCIA, CE ;
PRETT, DM ;
MORARI, M .
AUTOMATICA, 1989, 25 (03) :335-348
[8]   Constrained latent variable model predictive control for trajectory tracking and economic optimization in batch processes [J].
Godoy, J. L. ;
Gonzalez, A. H. ;
Normey-Rico, J. E. .
JOURNAL OF PROCESS CONTROL, 2016, 45 :1-11
[9]  
Hattou S, 2011, COMPUT-AIDED CHEM EN, V29, P502
[10]   Modeling and Control of Roller Compaction for Pharmaceutical Manufacturing. Part I: Process Dynamics and Control Framework [J].
Hsu, Shuo-Huan ;
Reklaitis, Gintaras V. ;
Venkatasubramanian, Venkat .
JOURNAL OF PHARMACEUTICAL INNOVATION, 2010, 5 (1-2) :14-23