Fault tolerant MPC for Fed-batch Penicillin Production

Research output: Contribution to conferenceAbstractpeer-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 languageEnglish
Pages241-241
Number of pages1
DOIs
Publication statusPublished - Sept 2018
EventUKACC 12th International Conference on Control, CONTROL 2018 - Sheffield, United Kingdom
Duration: 5 Sept 20187 Sept 2018

Conference

ConferenceUKACC 12th International Conference on Control, CONTROL 2018
Country/TerritoryUnited Kingdom
CitySheffield
Period5/09/187/09/18

Keywords

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

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