System Identification and Control System Design for Bioreactor Process

A control system can’t be simulated using the conventional tuning methods without the availability of mathematical model of the plant being controlled. The work done in this paper is grounded on the available raw data pertaining to an industrial biochemical reactor process. Using this data, multiple mathematical models of the plant are identified in MATLAB using system identification toolbox. The fittest model is chosen for control system designing. For this model, CHR and IMC based controllers are designed in MATLAB. Their set-point and disturbance responses are analyzed.