DYNAMIC OPTIMIZATION OF A HYBRID COUPLED TANKS SYSTEM

Tomáš Hirmajer – Miroslav Fikar

   In this paper we present dynamic optimization of a hybrid system - coupled tanks exhibiting hybrid dynamics. Dynamic optimization of this hybrid system is based on a control vector parameterization (CVP) approach which allows the computation of the optimal operating policies. The CVP approach transforms the original dynamic optimization into a non-linear programming (NLP) problem. Calculation of gradients for NLP solver is based on optimal control theory. Several simulation studies including minimum time problems and quadratic performance criteria are presented and show usefulness of the proposed approach.

Keywords: dynamic optimization, sequential approach, hybrid system

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