Strategies for real-time optimization of transient processes

Abstract:
This paper gives an overview of recent developments and applications of dynamic real-time optimization. The developments are based on a decomposition strategy, which separates the economical and control objectives by formulating two sub-problems in closed-loop. Two approaches (model-based and model-free at the implementation level) are developed to provide tight integration of dynamic optimization of plant economics and control, and to handle uncertainty. Simulated industrial applications involving different dynamic operational scenarios demonstrate significant economical benefits to plant operation.

Keywords:
dynamic real-time optimization, model predictive control, uncertainty, neighboring extremal control, NCO-tracking

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