In this paper, we present an algorithm for economic nonlinear model predictive control (NMPC) of singlecell protein production in a U-loop bioreactor. The model of the U-loop bioreactor consists of both stochastic ordinary and partial differential equations. Using a typical ﬁnite-volume discretization, the model contains 87 state variables. The NMPC algorithm is based on the continuous-discrete extended Kalman ﬁlter and a simultaneous collocation method. We present a closed-loop simulation which demonstrates the computational feasibility of real-time implementation of the NMPC algorithm for startup and steady state operation of the U-loop reactor.
|Title of host publication||Proceedings of 2020 European Control Conference|
|Publication status||Published - 2020|
|Event||2020 European Control Conference - Virtual event, Saint Petersburg, Russian Federation|
Duration: 12 May 2020 → 15 May 2020
|Conference||2020 European Control Conference|
|Period||12/05/2020 → 15/05/2020|