The design of the MISO Model Predictive Controller for Bioreactor

Bioprocesses have the inherent characteristics of high nonlinearity, parameter uncertainty and information imperfection. These specific natures may cause some difficulties in control. Jacobian linearization method was used in this paper to linearize the bioreactor model firstly, and then a Multipleinput and single output (MISO) model predictive controller was designed for the reactor. PID controller and fuzzy-PID controller were also introduced to compare with the MPC controller. Simulation results prove that the model predictive control has several advantages over the other controls for bioreactors.