Fault tolerant MPC for Fed-batch Penicillin Production

Carlos Alberto Duran Villalobos; Barry Lennox; Stephen Goldrick

doi:10.1109/CONTROL.2018.8516796

Fault tolerant MPC for Fed-batch Penicillin Production

Carlos Alberto Duran Villalobos, Barry Lennox, Stephen Goldrick

EEE - Academic & Research

Research output: Contribution to conference › Abstract › peer-review

Abstract

Biopharmaceutical manufacturing is an inherently
complex operation with industrial-scale control strategies often failing to accurately account for faults and product variation that can result in significant economic losses. In response, this work presents a fault-tolerant Model Predictive Control (MPC) strategy which solves a modified version of a Quadratic Programming (QP) problem, using a data-driven adaptive Multivariate Partial Least Square (MPLS) model. The proposed technique is applied to an industrial simulation of a fed-batch process and found to improve operations significantly.
II.

Original language	English
Pages	241-241
Number of pages	1
DOIs	https://doi.org/10.1109/CONTROL.2018.8516796
Publication status	Published - Sept 2018
Event	UKACC 12th International Conference on Control, CONTROL 2018 - Sheffield, United Kingdom Duration: 5 Sept 2018 → 7 Sept 2018

Conference

Conference	UKACC 12th International Conference on Control, CONTROL 2018
Country/Territory	United Kingdom
City	Sheffield
Period	5/09/18 → 7/09/18

Keywords

Model Predictive Control
Partial Least Squares model
Data driven modelling
Penicillin manufacture

Access to Document

10.1109/CONTROL.2018.8516796

Cite this

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title = "Fault tolerant MPC for Fed-batch Penicillin Production",

abstract = "Biopharmaceutical manufacturing is an inherentlycomplex operation with industrial-scale control strategies often failing to accurately account for faults and product variation that can result in significant economic losses. In response, this work presents a fault-tolerant Model Predictive Control (MPC) strategy which solves a modified version of a Quadratic Programming (QP) problem, using a data-driven adaptive Multivariate Partial Least Square (MPLS) model. The proposed technique is applied to an industrial simulation of a fed-batch process and found to improve operations significantly.II.",

keywords = "Model Predictive Control, Partial Least Squares model, Data driven modelling, Penicillin manufacture",

author = "{Duran Villalobos}, {Carlos Alberto} and Barry Lennox and Stephen Goldrick",

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doi = "10.1109/CONTROL.2018.8516796",

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T1 - Fault tolerant MPC for Fed-batch Penicillin Production

AU - Duran Villalobos, Carlos Alberto

AU - Lennox, Barry

AU - Goldrick, Stephen

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Y1 - 2018/9

N2 - Biopharmaceutical manufacturing is an inherentlycomplex operation with industrial-scale control strategies often failing to accurately account for faults and product variation that can result in significant economic losses. In response, this work presents a fault-tolerant Model Predictive Control (MPC) strategy which solves a modified version of a Quadratic Programming (QP) problem, using a data-driven adaptive Multivariate Partial Least Square (MPLS) model. The proposed technique is applied to an industrial simulation of a fed-batch process and found to improve operations significantly.II.

AB - Biopharmaceutical manufacturing is an inherentlycomplex operation with industrial-scale control strategies often failing to accurately account for faults and product variation that can result in significant economic losses. In response, this work presents a fault-tolerant Model Predictive Control (MPC) strategy which solves a modified version of a Quadratic Programming (QP) problem, using a data-driven adaptive Multivariate Partial Least Square (MPLS) model. The proposed technique is applied to an industrial simulation of a fed-batch process and found to improve operations significantly.II.

KW - Model Predictive Control

KW - Partial Least Squares model

KW - Data driven modelling

KW - Penicillin manufacture

U2 - 10.1109/CONTROL.2018.8516796

DO - 10.1109/CONTROL.2018.8516796

M3 - Abstract

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EP - 241

T2 - UKACC 12th International Conference on Control, CONTROL 2018

Y2 - 5 September 2018 through 7 September 2018

ER -

Fault tolerant MPC for Fed-batch Penicillin Production

Abstract

Conference

Keywords

Access to Document

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Cite this