A Parameter Identification Based on Tuning of a Controller with One-Shot Experimental data

In this paper, we propose a new identification method that so as to yield parameters of a plant by tuning a controller including a nominal plant model. Some of the authors previously have proposed fictitious reference iterative tuning (which is abbreviated to as FRIT) as one of the useful and rational tuning methods of controllers. It enables us to obtain the optimal parameter of a controller based on only one-shot closed loop experiment data and an offline nonlinear optimization. We apply FRIT to identify the dynamics of a plant in the closed loop by tuning the controller including the parameters of a plant. As a result, it is possible to obtain the parameters of a plant as well as the optimal parameters of a controller. In order to show the simplicity and usefulness of this method in practical sense, we apply such a new method to identify parameters of a cart system