Journal of Robotics and Mechatronics
Online ISSN : 1883-8049
Print ISSN : 0915-3942
ISSN-L : 0915-3942
Special Issue on New Development in Adaptive & Learning Control
Virtual Reference Feedback Tuning for Cascade Control Systems
Huy Quang NguyenOsamu KanekoYoshihiko Kitazaki
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JOURNAL OPEN ACCESS

2016 Volume 28 Issue 5 Pages 739-744

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Abstract

Virtual Reference Feedback Tuning (VRFT), proposed by Campi et al., is an effective data-driven tuning method used in feedback controllers because the desired parameters implemented in the controller are obtained by using only one-shot experiment data. In this paper, we apply VRFT to cascade control systems. We also discuss the meaning of the cost function to be minimized. A numerical example is demonstrated to show an effectiveness and validity of our proposed method.

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