A novel optimising controller is designed that leads a slow process from a sub-optimal operational condition to the steady-state optimum in a continuous way based on dynamic information. Using standard results from optimisation theory and discrete optimal control, the solution of a steady-state optimisation problem is achieved by solving a receding-horizon optimal control problem which uses derivative and state information from the plant via a shadow model and a state-space identifier. The paper analyzes the steady-state optimality of the procedure, develops algorithms with and without control rate constraints and applies the procedure to a high fidelity simulation study of a distillation column optimisation.
|Title of host publication||Proceedings of the Third IEEE Conference on Control Applications, 1994|
|Place of Publication||Piscataway|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 1994|
- discrete optimal control, distillation column, dynamic information, optimisation, receding-horizon optimal control, shadow model, state-space identifier, steady-state optimising control