Control of a complex multistep process for the production of mesalazine

被引:6
|
作者
Castillo, Ismael [1 ]
Rehrl, Jakob [2 ]
Sagmeister, Peter [2 ,3 ]
Lebl, Rene [2 ,3 ]
Kruisz, Julia [2 ]
Celikovic, Selma [1 ]
Sipek, Martin [4 ]
Kirschneck, Dirk [5 ]
Horn, Martin [1 ]
Sacher, Stephan [2 ]
Cantillo, David [2 ,3 ]
Williams, Jason D. [2 ,3 ]
Khinast, Johannes G. [2 ,6 ]
Kappe, Oliver [2 ,3 ]
机构
[1] Graz Univ Technol, Inst Automat & Control, Inffeldgasse 21b, A-8010 Graz, Austria
[2] Res Ctr Pharmaceut Engn GmbH, Inffeldgasse 13-2, A-8010 Graz, Austria
[3] Karl Franzens Univ Graz, Inst Chem, Heinrichstr, A-8010 Graz, Austria
[4] Evon GmbH, Wollsdorf 154, A-8181 St Ruprecht, Austria
[5] Microinnova Engn GmbH, Europapk 1, A-8412 Allerheiligen, Austria
[6] Graz Univ Technol, Inst Proc & Particle Engn, Inffeldgasse 13-3, A-8010 Graz, Austria
关键词
Multi-step continuous flow process; Synthesis of active pharmaceutical; ingredient; Data driven models; LoLiMoT identification; Non-linear model predictive control; SYSTEMS; STATE;
D O I
10.1016/j.jprocont.2022.12.009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the application of Data Driven Modelling (DDM) and Non-Linear Model Predictive Control (NMPC) for the control implementation of a continuous reactor for the production of the Active Pharmaceutical Ingredient (API), Mesalazine. The contribution of this work is to present the overall control architecture, the step-by-step controller design based on DDM, i.e. Neuro-Fuzzy/Local Linear Model Tree Models (LoLiMoT) and NMPC. We demonstrate the advantages of DDM and NMPC, in the presence of non-linear, distributed parameter, multi-variable systems as a suitable, powerful and practical way to approach complex process control challenges. Compared to conventional concepts, the inherent optimization structure of NMPC allows to obtain the desired behaviour of the multi-variable non-linear plant considering the physical constraints of operation regions. The control concept has been implemented in the real system on one central computer, XamControl (Evon),1 with all measurement devices and actuators centrally interconnected.(c) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页码:59 / 68
页数:10
相关论文
共 50 条
  • [41] Genetics of autoimmune diseases: A multistep process
    Johannesson, M.
    Hultqvist, M.
    Holmdahl, R.
    CURRENT CONCEPTS IN AUTOIMMUNITY AND CHRONIC INFLAMATION, 2006, 305 : 259 - 276
  • [42] Microscopic calculation of the multistep compound process
    Kawano, T
    PHYSICAL REVIEW C, 1999, 59 (02): : 865 - 875
  • [43] HUMAN CARCINOGENESIS - A MULTISTEP, MULTIFACTORIAL PROCESS
    TUBIANA, M
    BULLETIN DE L ACADEMIE NATIONALE DE MEDECINE, 1989, 173 (08): : 997 - 1004
  • [44] MULTISTEP PROCESS KEY TO ANTIBODY DIVERSITY
    FOX, JL
    CHEMICAL & ENGINEERING NEWS, 1981, 59 (02) : 24 - 26
  • [45] Adipose Tissue Dysfunction: A Multistep Process
    Sun, Kai
    Scherer, Philipp E.
    NOVEL INSIGHTS INTO ADIPOSE CELL FUNCTIONS, 2010, : 67 - 75
  • [46] MULTISTEP PROCESS FOR CATALYTIC SYNTHESIS OF DEUTEROPROPANONE
    MIKSCHE, G
    WOLF, A
    TRUMMER, I
    THOMKE, K
    MONATSHEFTE FUR CHEMIE, 1987, 118 (03): : 355 - 362
  • [47] Multistep control of pituitary organogenesis
    Sheng, HZ
    Moriyama, K
    Yamashita, T
    Li, H
    Potter, SS
    Mahon, KA
    Westphal, H
    SCIENCE, 1997, 278 (5344) : 1809 - 1812
  • [48] MULTISTEP QUALITY-CONTROL
    BOLYCHEVTSEV, AD
    MEASUREMENT TECHNIQUES USSR, 1990, 33 (08): : 759 - 764
  • [49] PROCESS SYNTHESIS FOR MULTISTEP MICROBIAL CONVERSIONS
    MARSHALL, CT
    WOODLEY, JM
    BIO-TECHNOLOGY, 1995, 13 (10): : 1072 - 1078
  • [50] Surgical Instrument Decontamination: A Multistep Process
    Chobin, Nancy
    AORN JOURNAL, 2019, 110 (03) : 253 - 262