Iterative Learning Control with Simultaneous Feedback Gain Tuning

被引：0

作者：

Sato Y. ^{[1
]}

Masuda S. ^{[1
]}

Toyoda M. ^{[1
]}

机构：

[1] Graduate School of Systems Design, Tokyo Metropolitan University, 6-6, Asahigaoka, Hino, Tokyo

来源：

IEEJ Transactions on Electronics, Information and Systems | 2024年 / 144卷 / 05期

基金：

日本学术振兴会;

关键词：

iterative feedback tuning; iterative learning control; PID control;

D O I：

10.1541/ieejeiss.144.489

中图分类号：

学科分类号：

摘要：

The iterative learning control (ILC) achieves optimal feedforward control laws to follow a prescribed reference signal. Among several studies on the ILC approaches, the ILC incorporated with Proportional, Integral, and Derivative (PID) controllers have been studied. In these approaches, PID controller works for improving feedback properties, such as disturbance attenuation properties. However, the conventional approaches keep fixed PID gain parameters without evaluating the feedback properties. Hence, the study introduces a PID gain tuning approach using the iterative feedback tuning (IFT). The study also introduces a compensation method for feedforward control law achieved by ILC. Finally, the paper shows the effectiveness of the proposed method through a numerical example. © 2024 The Institute of Electrical Engineers of Japan.

引用

页码：489 / 495

页数：6

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