Iyer M S, Wiesner T F, Rhinehart R R
Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409-3121, USA.
Biotechnol Bioeng. 1999 Apr 5;63(1):10-21.
Traditionally, fed-batch biochemical process optimization and control use complicated models and off-line optimizers with no on-line model adaptation and re-optimization. This work demonstrates the applicability, effectiveness, and economic potential, of a simple phenomenological model for modeling, and a novel optimizer for on-line re-optimization and control of an aerobic fed-batch fermentor.
传统上，分批补料生化过程的优化与控制采用复杂模型和离线优化器，不存在在线模型适配和重新优化。本研究展示了一种简单的现象学模型用于建模的适用性、有效性和经济潜力，以及一种新颖的优化器用于好氧分批补料发酵罐的在线重新优化与控制。
