Advanced model predictive control strategies for evaporation processes in the pharmaceutical industries

被引：2

作者：

Nascu, Ioana ^{[1
]}

Diangelakis, Nikolaos A. ^{[2
]}

Munoz, Salvador Garcia ^{[3
]}

Pistikopoulos, Efstratios N. ^{[4
,5
]}

机构：

[1] Tech Univ Cluj Napoca, Fac Automat & Comp Sci, Dept Automat, Cluj Napoca 400114, Romania

[2] Tech Univ Crete, Sch Chem & Environm Engn, Khania 73100, Greece

[3] Eli Lilly & Co, LillyResearch Labs, Synthet Mol Design & Dev, Indianapolis, IN 46074 USA

[4] Texas A&M Univ, Texas A&M Energy Inst, College Stn, TX USA

[5] Texas A&M Univ, Artie McFerrin Dept Chem Engn, College Stn, TX USA

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2023年 / 173卷

关键词：

Evaporation process; Pharmaceuticals; Process control; PID; MPC; Multiparameric; explicit model based; predictive control; OPTIMIZATION; DESIGN; QUALITY; PERSPECTIVES;

D O I：

10.1016/j.compchemeng.2023.108212

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we present a framework to design control systems for an evaporation process in the pharmaceutical industry with the aim to deliver guaranteed operability for different molecules and under different thermody-namic scenarios. Based on a mathematical model developed within the gPROMS platform calibrated and vali-dated with real data from experiments, three control methods are implemented and compared, (i) Proportional Integrative Derivative control (PID), (ii) Model Predictive Control (MPC) and (iii) explicit/multi-parametric Model Predictive Control (mp-MPC). The performance and limits of the derived control schemes are then established and tested for reference tracking as well as disturbances rejection.

引用

页数：16

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