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In this paper, we consider the data-driven tuning method for a two-degree-of-freedom (2DOF) control architecture to achieve a desired tracking property for non-minimum phase systems. By utilizing the fictitious reference iterative tuning (FRIT), which enables us to obtain an appropriate parameter of a controller with only one-shot experimental data, we propose an effective tuning method of the feedforward...
This paper proposes a data-driven parameter tuning of the internal model controller (IMC) for non-minimum phase plants. In order to perform the parameter tuning of the IMC, we utilize the fictitious reference iterative tuning (FRIT), which enables us to obtain the desired parameter of the controller with only one-shot experiment data. Particularly, we propose an embedding of the internal mathematical...
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