New parameter-tuning methods, called data-driven tuning, have been proposed, which can derive the controller parameters without using plant models. These include iterative feedback tuning (IFT), virtual reference feedback tuning (VRFT), and fictious reference iterative tuning (FRIT). In this study, a simple data-driven tuning method is proposed. Through closed-loop experiments, one-shot input data and the initial controller parameters are obtained, based on which the control system is tuned. The tuned control system can realize a high tracking performance, and the desired response can be obtained. Furthermore, the validity of the proposed method is investigated through numerical simulation and experiments, which establish that the control performance is improved by the proposed parameter-tuning method. The proposed method can obtain appropriate controller parameters. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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仅使用一次性控制信号和初始控制器参数的数据驱动调整

已经提出了新的参数调整方法，称为数据驱动调整，它可以在不使用对象模型的情况下导出控制器参数。这些包括迭代反馈调整 (IFT)、虚拟参考反馈调整 (VRFT) 和虚构参考迭代调整 (FRIT)。在这项研究中，提出了一种简单的数据驱动调整方法。通过闭环实验，获得一次性输入数据和初始控制器参数，以此为基础对控制系统进行调谐。调谐后的控制系统可实现较高的跟踪性能，并能获得所需的响应。此外，通过数值模拟和实验研究了所提出方法的有效性，证明所提出的参数调整方法提高了控制性能。所提出的方法可以获得合适的控制器参数。© 2021 日本电气工程师学会。由 Wiley Periodicals LLC 出版。