Multivariate batch to batch optimisation of fermentation processes incorporating validity constraints

被引:12
作者
Duran-Villalobos, Carlos A. [1 ]
Lennox, Barry [1 ]
Lauri, David [1 ]
机构
[1] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
关键词
Partial least squares; Batch control; Batch-to-batch; Adaptive control; Validity constraints; Data-driven modelling; ITERATIVE LEARNING CONTROL; MODEL-PREDICTIVE CONTROL; LATENT VARIABLE MODELS; SACCHAROMYCES-CEREVISIAE; ENSURING VALIDITY; PRODUCT QUALITY; PLS; SIMULATION;
D O I
10.1016/j.jprocont.2016.07.002
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 an innovative optimisation technique, which utilises an adaptive Multiway Partial Least Squares (MPLS) model to track the dynamics of a batch process from one batch to the next. Utilising this model, an optimisation algorithm solves a quadratic cost function that identifies operating conditions for the subsequent batch that should increase yield. Hard constraints are shown to be required when solving the cost function to ensure that batch conditions do not vary too greatly from one batch to the next. Furthermore, validity constraints are imposed to prevent the PLS model from extrapolating significantly when determining new operating conditions. The capabilities of the proposed technique are illustrated through its application to two benchmark fermentation simulations, where its performance is shown to compare favourably with alternative batch-to-batch optimisation techniques. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:34 / 42
页数:9
相关论文
共 37 条
[1]  
[Anonymous], 2010, THESIS
[2]   Dealing with missing data in MSPC: several methods, different interpretations, some examples [J].
Arteaga, F ;
Ferrer, A .
JOURNAL OF CHEMOMETRICS, 2002, 16 (8-10) :408-418
[3]   Data-driven model predictive quality control of batch processes [J].
Aumi, Siam ;
Corbett, Brandon ;
Clarke-Pringle, Tracy ;
Mhaskar, Prashant .
AICHE JOURNAL, 2013, 59 (08) :2852-2861
[4]   A modular simulation package for fed-batch fermentation:: penicillin production [J].
Birol, G ;
Ündey, C ;
Çinar, A .
COMPUTERS & CHEMICAL ENGINEERING, 2002, 26 (11) :1553-1565
[5]   Control and optimization of batch processes [J].
Bonvin, Dominique ;
Srinivasan, Bala ;
Hunkeler, David .
IEEE CONTROL SYSTEMS MAGAZINE, 2006, 26 (06) :34-45
[6]   Self-tuning run to run optimization of fed-batch processes using unfold-PLS [J].
Camacho, Jose ;
Pico, Jesus ;
Ferrer, Alberto .
AICHE JOURNAL, 2007, 53 (07) :1789-1804
[7]   Evaluation of smoothing techniques in the run to run optimization of fed-batch processes with u-PLS [J].
Camacho, Jose ;
Lauri, David ;
Lennox, Barry ;
Escabias, Manolo ;
Valderrama, Mariano .
JOURNAL OF CHEMOMETRICS, 2015, 29 (06) :338-348
[8]   Batch-to-batch iterative learning control and within-batch on-line control for end-point qualities using MPLS-based dEWMA [J].
Chen, Junghui ;
Lin, Kuen-Chi .
CHEMICAL ENGINEERING SCIENCE, 2008, 63 (04) :977-990
[9]   Recursive exponentially weighted PLS and its applications to adaptive control and prediction [J].
Dayal, BS ;
MacGregor, JF .
JOURNAL OF PROCESS CONTROL, 1997, 7 (03) :169-179
[10]  
Duran-Villalobos C.A., 2013, PREPRINTS 10THI FAC, P511