Model-based design of experiments for model identification using closed-loop set-point response

In this work, a new approach to model identification based on model-based experimental design is presented. In the proposed strategy, system identification relies on a closed-loop set-point response. For this purpose, experiments are first exemplarily executed with a P-controller. Therefore, in this specific case only one design variable is considered that is represented by the controller gain. In order to validate our approach and demonstrate the benefits of the proposed strategy different scenarios are simulated.