Volume 8, Issue 3, December 2021, Pages 170 - 174
Design of a Data-Driven Control System based on Reference Model using Predicted Input/Output Responses
Authors
Yuki Nakatani, Takuya Kinoshita*, Toru Yamamoto
Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Higashi-Hiroshima, Hiroshima 739-8527, Japan
*Corresponding author. Email: kinoshita-takuya@hiroshima-u.ac.jp
Corresponding Author
Takuya Kinoshita
Received 15 November 2020, Accepted 18 June 2021, Available Online 9 October 2021.
- DOI
- 10.2991/jrnal.k.210922.004How to use a DOI?
- Keywords
- Data-driven control; extended output; predicted data; offline tuning
- Abstract
In recent years, data-driven control schemes that do not require system modeling have been actively studied. These schemes use only a set of experimental data to design a controller that realizes the desired reference output offline. However, it is necessary to consider the output response and the input response since there is a limit of the actuator performance in actual machines. This paper proposes a new data-driven control scheme that can predict the input/output responses of an unknown system in offline using a set of operating data. The effectiveness of the proposed scheme is numerically verified by a simulation example.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Yuki Nakatani AU - Takuya Kinoshita AU - Toru Yamamoto PY - 2021 DA - 2021/10/09 TI - Design of a Data-Driven Control System based on Reference Model using Predicted Input/Output Responses JO - Journal of Robotics, Networking and Artificial Life SP - 170 EP - 174 VL - 8 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.210922.004 DO - 10.2991/jrnal.k.210922.004 ID - Nakatani2021 ER -