Abstract
In this work, a new approach to model identification and PI controller tuning 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. Additionally, we use the results achieved in the system identification step for the calculation of controller settings. In order to validate our approach and demonstrate the benefits of the proposed strategy, different scenarios are simulated.