Authorship：Lead author   Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

This paper deals with applications of data-driven control, which is a controller tuning method that directly utilizes the data, for mechanical systems. Particularly, we focus on the valve opening control of the motor-operated valve as one of the representative mechanical control units which are used in much industrial equipment and are needed to be precisely controlled. If we have a mathematical model of such a system, a model-based controller design is the most rational approach. Otherwise, data-driven controller tuning is also expected to be a rational approach. However, there exists a nonlinear characteristic, such as the limit of a speed implemented in the nonlinear compensator. Since conventional data-driven controller design can not be used because data-driven control is generally derived for only linear time-invariant systems, we have to modify the method of driven controller tuning method so as to be applicable for such systems. This paper proposes a controller tuning method for the valve-opening control system implemented as a cascade control system with a limit of the speed. Here, we apply Virtual Internal Model Tuning, which is abbreviated as VIMT, to tune the inner linear controller. Then, we also apply data-driven prediction to compute the outer loop controller including the limit of the speed. Finally, we verified the usefulness of the proposed method using experimental verification.

DOI： 10.1299/transjsme.22-00237

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Publishing type：Research paper (scientific journal)   Publisher：Japan Society of Mechanical Engineers  

DOI： 10.1299/transjsme.21-00383

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Authorship：Lead author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Society of Instrument and Control Engineers  

DOI： 10.9746/sicetr.58.179

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Society of Instrument and Control Engineers  

DOI： 10.9746/sicetr.58.112

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Wiley  

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.

DOI： 10.1002/tee.23438

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Other Link： https://onlinelibrary.wiley.com/doi/full-xml/10.1002/tee.23438

Authorship：Lead author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Society of Instrument and Control Engineers  

In this paper, we discuss a performance of a controller obtained by using VIMT. Here, we focus on a relationship between a controller embedded in the system and a class of controller that can achieve the specification defined by the user. We provide a method of performance improvement for VIMT by using pre-filter. Finally we give a numerical example to illustrate the validity of our results.

DOI： 10.9746/sicetr.57.177

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Other Link： https://www.jstage.jst.go.jp/article/sicetr/57/3/57_177/_pdf

Language：Japanese   Publisher：The Society of Instrument and Control Engineers  

In this paper, we consider a new approach to data-driven controller tuning for time-delay systems. The Smith compensator is widely known as an effective method for time-delay systems. In the case where a mathematical model of a time-delay system is completely known, it is well known that the desired response can be completely achieved by using suitable feedback controller using the mathematical model. In this paper, we address the case where a mathematical model is unknown and it is difficult to execute an ideal experiment for identification. A direct usage of the data is one of the rational approaches in such a case. Here, we apply Virtual Internal Model Tuning (VIMT), which was a data-driven controller update method by using output data and was proposed by the authors, to the Smith compensator. We explain how VIMT is expand to this class of the controllers. We also consider the meaning of the cost function used in the proposed method. Finally, we illustrate an experimental example to show the validity and the effectiveness of the proposed method.

DOI： 10.9746/sicetr.56.412

DOI： 10.9746/sicetr.57.409_references_DOI_YcKh0EFN9IKTp4W2eunc7qsAxi4

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Other Link： https://www.jstage.jst.go.jp/article/sicetr/56/8/56_412/_pdf

Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ELSEVIER  

In this paper, we consider data-driven approach to the simultaneous attainment of a controller and a model. Here, we utilize Virtual Internal Model Tuning (VIMT), which is proposed by the same authors, to update a controller with a virtual internal model. We clarify that the VIMT is effective for not only the update of a controller but also the attainment of the plant model so as to reflect a given tracking specification. Copyright (C) 2020 The Authors.

DOI： 10.1016/j.ifacol.2020.12.448

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Language：Japanese   Publisher：The Society of Instrument and Control Engineers  

In this paper, we propose a method of shaping a reference signal so that a desired response of an uncertain linear system can be achieved. The signal shaping can be done by using the data-driven control schemes, thereby improving the closed-loop performance without knowing the model. Since the proposed method do not change any closed-loop controllers equipped with the target system, the method is useful for working plants. The effectiveness of the proposed method is shown through an experiment of using a Lego Mindstorm EV3.

DOI： 10.9746/sicetr.56.269

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Other Link： https://www.jstage.jst.go.jp/article/sicetr/56/5/56_269/_pdf

Authorship：Lead author   Language：Japanese   Publisher：The Society of Instrument and Control Engineers  

In this paper, we propose a new update scheme for the controller parameters of the two-degree-of-freedom control system using Virtual Internal Model Tuning. Here, both of the feedback controller and the feed-forward one are simultaneously updated to improve the closed loop property and the tracking property, respectively. The key of the proposed technique is to use the virtual model, which is derived from the ideal controller for a given specification. Finally, to show the usefulness of the proposed method, verification is performed using numerical simulation.

DOI： 10.9746/sicetr.56.98

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Other Link： https://www.jstage.jst.go.jp/article/sicetr/56/3/56_98/_pdf

Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ELSEVIER  

In this paper, we propose a new method for updating controllers by using closed loop data without a mathematical model of plant. The proposed method here requires only one-shot output data obtained in the closed loop experiment together with the feedback controller used in this initial experiment and the desired tracking transfer function. This method is derived based on the idea of the data-driven prediction and the concept of the internal model control (IMC) structure that only appears in the virtual closed loop system. Finally, the validity and the effectiveness of the proposed method are verified through experimental examples. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

DOI： 10.1016/j.ifacol.2019.12.699

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Authorship：Lead author   Language：Japanese   Publisher：The Institute of Electrical Engineers of Japan  

In this paper, we propose a new method to update parameters of the controller implemented in the closed loop system. The proposed parameter tuning method here requires only one-shot output data obtained in the closed loop experiment together with the feedback controller used in this initial experiment and the desired tracking specification. This method is derived based on the idea of the data-driven estimation and the concept of the internal model control (IMC) structure that only appears in the virtual closed loop system. Finally, the validity and the effectiveness of the proposed method are verified through actual experiments.

DOI： 10.1541/ieejeiss.139.780

DOI： 10.9746/sicetr.57.409_references_DOI_LnAXJM9yeHF9NHgDlEqS6dhjr5d

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Other Link： https://www.jstage.jst.go.jp/article/ieejeiss/139/7/139_780/_pdf

Language：Japanese   Publisher：The Society of Instrument and Control Engineers  

We propose a new approach to controller parameter tuning in the two-degree-of-freedom control architecture, what is called as Estimated Response Iterative Tuning (ERIT). The idea is very simple in the sense that the feed-forward controller is tuned so as to realize that the estimated response calculated in the off-line is equal to the desired response. This approach is very useful because the required material for the optimization are the obtained data and the available information like the feedback controller, the desired transfer function, and the initial feed-forward controller. Here, we analyze the cost function which appears in the ERIT. To show the validity of the proposed method, we give an illustrative example.

DOI： 10.9746/sicetr.54.857

DOI： 10.9746/sicetr.57.409_references_DOI_OPkLH5JuNrcS8KIADwURZsPFpyl

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Other Link： https://www.jstage.jst.go.jp/article/sicetr/54/12/54_857/_pdf

Event date： 2024.9.4 - 2024.9.6

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Event date： 2023.10.7 - 2023.10.8

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Event date： 2020.7.11 - 2020.7.17

Language：English   Presentation type：Oral presentation (general)  

In this paper, we consider data-driven approach to the simultaneous attainment of a controller and a model. Here, we utilize Virtual Internal Model Tuning (VIMT), which is proposed by the same authors, to update a controller with a virtual internal model. We clarify that the VIMT is effective for not only the update of a controller but also the attainment of the plant model so as to reflect a given tracking specification. Copyright (C) 2020 The Authors.

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Event date： 2020

Presentation type：Oral presentation (general)  

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Event date： 2020

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Event date： 2020

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Event date： 2019

Language：English   Presentation type：Oral presentation (general)  

In this paper, we propose a new method for updating controllers by using closed loop data without a mathematical model of plant. The proposed method here requires only one-shot output data obtained in the closed loop experiment together with the feedback controller used in this initial experiment and the desired tracking transfer function. This method is derived based on the idea of the data-driven prediction and the concept of the internal model control (IMC) structure that only appears in the virtual closed loop system. Finally, the validity and the effectiveness of the proposed method are verified through experimental examples. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

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Event date： 2019

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Event date： 2019

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Event date： 2019

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Presentation type：Poster presentation  

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