Data-Driven Update of Table-Typed Controller Gain in Tracing Control System by Virtual Internal Model Tuning

In this paper, we present a new approach to data-driven update of table-typed controller gain in tracing control system. This type of control system is used in various precision processing systems for industrial products. It is important for a tracing control system to be maintained so as to achieve...

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Main Authors: Noriaki IHORI, Osamu KANEKO, Taichi IKEZAKI, Tsutomu TAKUSHIMA
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2022-04-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/transjsme/88/909/88_21-00383/_pdf/-char/en
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author Noriaki IHORI
Osamu KANEKO
Taichi IKEZAKI
Tsutomu TAKUSHIMA
author_facet Noriaki IHORI
Osamu KANEKO
Taichi IKEZAKI
Tsutomu TAKUSHIMA
author_sort Noriaki IHORI
collection DOAJ
description In this paper, we present a new approach to data-driven update of table-typed controller gain in tracing control system. This type of control system is used in various precision processing systems for industrial products. It is important for a tracing control system to be maintained so as to achieve the accuracy of positioning for reducing the gap between the workpiece and the machining tool during the operation. In addition, it is also important to update the elements of the table in the controller as faciley from the practical points of view. The update of the controller by directly using the data without mathemaical models is one of the rational ways to realize them. From these backgrounds, we have previously applied FRIT (Fictitious Reference Iterative Tuning), which is a data-driven controller tuning method with only one-shot experiment, to update the table-typed controller in the tracing control system. However, this method requires calculations using a fictitious inverse system of an implemented controller, which leads to computational errors. In this paper, we propose a method utlizing VIMT (Virtual Internal Model Tuning) to update the table-typed controller without using its inverse system. Moerover, we update not only each gain in the table but also each corresponding range to improve the tracking accuracy of tracing control system.
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spelling doaj.art-a4ecc0768eef4981acd39758d78d96002022-12-22T04:35:14ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612022-04-018890921-0038321-0038310.1299/transjsme.21-00383transjsmeData-Driven Update of Table-Typed Controller Gain in Tracing Control System by Virtual Internal Model TuningNoriaki IHORI0Osamu KANEKO1Taichi IKEZAKI2Tsutomu TAKUSHIMA3Department of Mechanical Engineering and Intelligent Systems Engineering, The University of Electro-CommunicationsDepartment of Mechanical Engineering and Intelligent Systems Engineering, The University of Electro-CommunicationsDepartment of Mechanical Engineering and Intelligent Systems Engineering, The University of Electro-CommunicationsMusashi Engineering, Inc.In this paper, we present a new approach to data-driven update of table-typed controller gain in tracing control system. This type of control system is used in various precision processing systems for industrial products. It is important for a tracing control system to be maintained so as to achieve the accuracy of positioning for reducing the gap between the workpiece and the machining tool during the operation. In addition, it is also important to update the elements of the table in the controller as faciley from the practical points of view. The update of the controller by directly using the data without mathemaical models is one of the rational ways to realize them. From these backgrounds, we have previously applied FRIT (Fictitious Reference Iterative Tuning), which is a data-driven controller tuning method with only one-shot experiment, to update the table-typed controller in the tracing control system. However, this method requires calculations using a fictitious inverse system of an implemented controller, which leads to computational errors. In this paper, we propose a method utlizing VIMT (Virtual Internal Model Tuning) to update the table-typed controller without using its inverse system. Moerover, we update not only each gain in the table but also each corresponding range to improve the tracking accuracy of tracing control system.https://www.jstage.jst.go.jp/article/transjsme/88/909/88_21-00383/_pdf/-char/endata-driven controlvimttracing controlcontrol application
spellingShingle Noriaki IHORI
Osamu KANEKO
Taichi IKEZAKI
Tsutomu TAKUSHIMA
Data-Driven Update of Table-Typed Controller Gain in Tracing Control System by Virtual Internal Model Tuning
Nihon Kikai Gakkai ronbunshu
data-driven control
vimt
tracing control
control application
title Data-Driven Update of Table-Typed Controller Gain in Tracing Control System by Virtual Internal Model Tuning
title_full Data-Driven Update of Table-Typed Controller Gain in Tracing Control System by Virtual Internal Model Tuning
title_fullStr Data-Driven Update of Table-Typed Controller Gain in Tracing Control System by Virtual Internal Model Tuning
title_full_unstemmed Data-Driven Update of Table-Typed Controller Gain in Tracing Control System by Virtual Internal Model Tuning
title_short Data-Driven Update of Table-Typed Controller Gain in Tracing Control System by Virtual Internal Model Tuning
title_sort data driven update of table typed controller gain in tracing control system by virtual internal model tuning
topic data-driven control
vimt
tracing control
control application
url https://www.jstage.jst.go.jp/article/transjsme/88/909/88_21-00383/_pdf/-char/en
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AT osamukaneko datadrivenupdateoftabletypedcontrollergainintracingcontrolsystembyvirtualinternalmodeltuning
AT taichiikezaki datadrivenupdateoftabletypedcontrollergainintracingcontrolsystembyvirtualinternalmodeltuning
AT tsutomutakushima datadrivenupdateoftabletypedcontrollergainintracingcontrolsystembyvirtualinternalmodeltuning