佐藤 孝雄

Data-driven control is considered a practical design method for control systems. This method enables the direct tuning of controller parameters using only input-output data without requiring plant identification. In several conventional studies, data-driven control was expanded to a two-degree-of-freedom (2DOF) control system to consider responsiveness and robustness. The purpose of this study is to improve both the disturbance and setpoint responses in 2DOF control systems with one-shot controller tuning. An optimal controller satisfying the desired performance was directly obtained by specifying the stability margin as a constraint condition. The frequency characteristics of the plant were estimated using input-output data to confirm that the condition was fulfilled. Finally, a numerical example was presented to demonstrate the effectiveness of the proposed method.

ABSTRACT In control systems using network communication or digital sensors, the quantization of input and output signals can significantly impact control performance. Therefore, it is essential to incorporate signal quantification into the control system design to prevent performance degradation. This study proposes a controller design method for systems in which both inputs and outputs are quantized. The proposed method derives a controller that minimizes the upper bound of the error between a plant output and a reference model output. In contrast to previous studies, our proposed method avoids solving matrix inequalities numerically and provides an analytical design approach.