Closed Loop System Identification Using Fractional Order Models

The growing digitalization of industrial processes under Industry 4.0 has encouraged the adoption of digital twins for process optimization; However, many of these processes are in closed loop and open loop identification techniques are not the most suitable for model estimation. In this work, it is proposed to use the Youla parametrization to transform the closed-loop identification problem into an open-loop one but using fractional models, starting from a known fractional controller to then experimentally estimate the process model, the proposal is evaluated through simulations in various closed loop systems.