Title:
CONTROL DEVICE, LEARNING DEVICE, CONTROL METHOD, LEARNING METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2021/059787
Kind Code:
A1
Abstract:
A control device of this embodiment comprises: an acquisition unit that acquires information indicating the strain of a vane of a structure, and information indicating a control amount of a movable vane of the structure; a first determination unit that determines a load and an elevation angle of the vane on the basis of the strain and the control amount indicated by the information acquired by the acquisition unit; a second determination unit that inputs, to a model trained by deep reinforcement learning, as state variables, some or all of the load and the elevation angle determined by the first determination unit, and the control amount indicated by the information acquired by the acquisition unit, and the second determination unit determines a control amount of the movable vane on the basis of an output result of the model to which the state variables were input; and a control unit that controls the movable vane on the basis of the control amount determined by the second control unit.
Inventors:
WADA DAICHI (JP)
KIMURA KEISUKE (JP)
MURAYAMA HIDEAKI (JP)
KIMURA KEISUKE (JP)
MURAYAMA HIDEAKI (JP)
Application Number:
PCT/JP2020/030640
Publication Date:
April 01, 2021
Filing Date:
August 12, 2020
Export Citation:
Assignee:
JAPAN AEROSPACE EXPLORATION (JP)
International Classes:
B64C3/00; B64C9/00; B64C13/16; G01L5/00; G05B11/36; G05B13/04; G06N20/00
Foreign References:
| US5740991A | 1998-04-21 | |||
| JP2019086468A | 2019-06-06 | |||
| US9227721B1 | 2016-01-05 | |||
| JP2019084897A | 2019-06-06 |
Other References:
WADA DAICHI, TAMAYAMA MASATO: "Wing Load and Angle o f Attack Identification by Integrating Optical Fiber Sensing and Neur al Network Approach in Wind Tunnel Test", APPLIED SCIENCES, vol. 9, no. Issue 7, 8 April 2019 (2019-04-08), pages 1 - 15, XP055807272, Retrieved from the Internet [retrieved on 20201020], DOI: 10.3390/app9071461
WADA DAICHI, SUGIMOTO YOHEI, MURAYAMA HIDEAKI, IGAWA HIROTAKA, NAKAMURA TOSHIYA: "Investigation of Inverse Analysis and Neural Network Approaches for Identifying Distributed Load using Distributed Strains", TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, vol. 62, no. Issue 3, 4 May 2019 (2019-05-04), pages 151 - 161, XP055807277, Retrieved from the Internet [retrieved on 20201020], DOI: 10.2322/tjsass.62.151
WADA DAICHI, SUGIMOTO YOHEI, MURAYAMA HIDEAKI, IGAWA HIROTAKA, NAKAMURA TOSHIYA: "Investigation of Inverse Analysis and Neural Network Approaches for Identifying Distributed Load using Distributed Strains", TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, vol. 62, no. Issue 3, 4 May 2019 (2019-05-04), pages 151 - 161, XP055807277, Retrieved from the Internet
Attorney, Agent or Firm:
TANAI Sumio et al. (JP)
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