Jitendra Kadam, Wolfgang Marquardt:
Integration of economical optimization and control for intentionally transient process operation
In: Findeisen, Rolf; Allgöwer, Frank; Biegler, Lorenz (Eds.): Assessment and future directions of nonlinear model predictive control, Springer Berlin / Heidelberg, 2007, 419-434
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 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.
dynamic real-time optimization, model predictive control, vertical decomposition, uncertainty, neighboring extremal control, active set, optimizing control, constraint tracking