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Virtual Reference Feedback Tuning for Cascade Control Systems
Author(s) -
Huy Nguyen,
Osamu Kaneko,
Yoshihiko Kitazaki
Publication year - 2016
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2016.p0739
Subject(s) - cascade , computer science , control theory (sociology) , controller (irrigation) , control (management) , function (biology) , control engineering , artificial intelligence , engineering , chemical engineering , agronomy , evolutionary biology , biology
[abstFig src='/00280005/17.jpg' width='300' text='Data-driven approach to cascade control systems' ] 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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