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 50 条
[41]   A Study on Feedback and Feedforward Control of High Power Transmitters for Active Sonar [J].
Song, Seung-Min ;
Kim, In-Dong ;
Lee, Byung-Hwa ;
Lee, Jeong-Min .
2019 IEEE 4TH INTERNATIONAL FUTURE ENERGY ELECTRONICS CONFERENCE (IFEEC), 2019,
[42]   Learning feedback and feedforward control in a mirror-reversed visual environment [J].
Kasuga, Shoko ;
Telgen, Sebastian ;
Ushiba, Junichi ;
Nozaki, Daichi ;
Diedrichsen, Joern .
JOURNAL OF NEUROPHYSIOLOGY, 2015, 114 (04) :2187-2193
[43]   On Optimal Feedforward and ILC: The Role of Feedback for Optimal Performance and Inferential Control [J].
van Zundert, Jurgen ;
Oomen, Tom .
IFAC PAPERSONLINE, 2017, 50 (01) :6093-6098
[44]   Numerical and experimental study of feedforward and feedback control for microchannel cooling system [J].
Jin, Qi ;
Yin, Ze ;
Dai, Qiumin .
INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2022, 179
[45]   Simultaneous output feedback robust model predictive control and state estimation for DC microgrids [J].
Badfar, Farid ;
Safavi, Ali Akbar ;
Arefi, Mohammad Mehdi .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 159
[46]   Feedback and Feedforward Control of a Biotrickling Filter for H2S Desulfurization with Nitrite as Electron Acceptor [J].
Brito, Javier ;
Almenglo, Fernando ;
Ramirez, Martin ;
Cantero, Domingo .
APPLIED SCIENCES-BASEL, 2019, 9 (13)
[47]   Output feedback fuzzy model predictive control with multiple objectives [J].
Hu, Jianchen ;
Liu, Kang ;
Xia, Yi .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (01) :32-45
[48]   Synthesis of constrained robust feedback policies and model predictive control [J].
Gramlich, Dennis ;
Scherer, Carsten W. ;
Haering, Hannah ;
Ebenbauer, Christian .
2024 EUROPEAN CONTROL CONFERENCE, ECC 2024, 2024, :3476-3483
[49]   Output Feedback Model Predictive Control for Nanomaterial Distribution System [J].
Bui Van Dan ;
Bui Trung Thanh ;
Nguyen Quoc Cuong .
2016 IEEE SIXTH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS (ICCE), 2016, :482-487
[50]   ROBUST OUTPUT FEEDBACK MODEL PREDICTIVE CONTROL: A STOCHASTIC APPROACH [J].
Mohammadkhani, Mohammadali ;
Bayat, Farhad ;
Jalali, Ali Akbar .
ASIAN JOURNAL OF CONTROL, 2017, 19 (06) :2085-2096