Modeling a biological reactor using sparse identification method

Lisci S.

First

Methodology

;Gitani E.

Second

Software

;Mulas M.

Penultimate

Conceptualization

;Tronci S.

Last

Member of the Collaboration Group

2021-01-01

---

Abstract

In this work a model-based controller for a fermentation bioreactor has been developed. By simulating the model of the process that acts as a virtual plant, input-output data have been generated and used to identify the system using sparse identification of nonlinear dynamics methodology. The obtained model is then used in a model-based algorithm to control the bioreactor temperature, where the manipulated action is obtained as a result of a constrained nonlinear optimization problem which minimizes the mismatch between the predicted trajectory and the desired one. Good performances have been obtained by applying the proposed control strategy for set-point changes and disturbance rejection.