Fault Tolerant MPC for Fed-Batch Penicillin Production
2018
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.
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