Data-Driven Prediction of 2DOF Control Systems with Updated Feedforward Controller

In this paper, we provide a new method to predict the response of two-degree-of-freedom control systems with an updated feedforward controller obtained by data-driven controller tuning such as FRIT, VRFT and so on. This new prediction method gives us the expected input and output responses with high accuracies before implementing the updated controller. Materials required for the proposed method are only the initial feedforward controller, the updated feedforward controller, a given desired transfer function, a feedback controller implemented in the closed loop and the data, which are available without a mathematical model of the plant. We refer this new scheme as Data-Driven Prediction.