モデル予測制御による触媒反応器のオンライン最適化

抄録

In the conventional optimizing control system the optimal policy determined at the static optimization level is transfered to the feedback control system as the set-point. The follow-up property to the set-point, however, becomes an issue when the catalyst deactivates rapidly and the optimal policy changes considerably at the next optimizing period and also when the process response delays.
In a proposed optimizing control system an optimal operational schedule until the next optimizing period is determined by using a reaction rate and a deactivation model to solve the issue. The resultant optimal policy during the period is effectively used to improve the follow-up property of the feedback control system by using the model predictive control algorithm. It works as an interface between the optimizer and the feedback control system.
Application of the proposed 3-level on-line optimizing control system to an experimental catalytic rector showed excellent performance in preservation of the optimality.