Dynamic optimization of a plate reactor start-up supported by Modelica-based code generation software

In English In this paper, start-up of a plate reactor is considered. Dynamic
optimization is used to obtain start-up trajectories, and a feedback
control structure for on-line control. The problem is challenging,
since the process model is large and highly non-linear. In
addition, the plant is subject to uncertainty. Special attention is
given to the problem of formulating an optimal control problem based
on physical insight. The robustness properties of the optimal solution
are explored in simulation, by introducing parameter perturbations into
the model. Automatic computer tools which greatly simplifies the task
of formulating complex dynamic optimization problems are briefly
discussed.