Development and application of a novel algorithm for steady-state optimising control using dynamic information
Becerra, V. M., Roberts, P. D. and Lin, J. (1994) Development and application of a novel algorithm for steady-state optimising control using dynamic information. In: Proceedings of the 3rd IEEE International Conference on Control and Applications CCA-94. IEEE Press, pp. 257-262.
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To link to this article DOI: 10.1109/CCA.1994.381457
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.