Abstract

The problem of co-operation of model predictive control (MPC) algorithms with nonlinear economic optimisation is considered. It is important when dynamics of disturbances is comparable with dynamics of the process, thus when application of the classical multilayer approach may be not efficient. Two main approaches are discussed and their features studied. The first one consists in approximate linear, linear-quadratic or piecewise-linear formulations of the target set-point optimisation depending on problem properties. The idea of the second approach consists in integrating the economic optimisation and manipulated variables calculation by MPC algorithm into one optimisation problem. The nonlinear steady-state model used in economic optimisation is approximated on-line. The resulting optimisation problem is then integrated with the MPC optimisation task and a computationally efficient quadratic programming problem is obtained.

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