On-line optimal trajectory control for a fermentation process using multi-linear models
The aim of this work is to present a technique, which is capable of dealing with discontinuous time varying systems based on the identification of local linear models at different operating conditions. The ideal process trajectory is predicted using a Model Predictive Control Scheme (MPC) in cascade with conventional PID controllers which are responsible for driving the system along at the optimal conditions. An on-line application to a laboratory scale fermenter for the production of gluconic acid is discussed to assess the reliability and performance of this strategy. (C) 2001 Elsevier Science Ltd. All rights reserved.
optimal trajectory model predictive control gluconic acid production