Abstract
This paper summarizes recent developments and applications of dynamic real-time optimization (D-RTO). A decomposition strategy is presented to separate economical and control objectives by formulating two subproblems in closed-loop. Two approaches (model-based and model-free at the implementation level) are developed to provide tight integration of economical optimization and control, and to handle uncertainty. Simulated industrial applications involving different dynamic operational scenarios demonstrate significant economical benefits.
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Keywords
- Model Predictive Control
- Dynamic Optimization
- Reference Trajectory
- Dynamic Optimization Problem
- Economical Optimization
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Kadam, J.V., Marquardt, W. (2007). Integration of Economical Optimization and Control for Intentionally Transient Process Operation. In: Findeisen, R., Allgöwer, F., Biegler, L.T. (eds) Assessment and Future Directions of Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72699-9_34
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