Invention Grant
- Patent Title: Machine learning in fusion reactors
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Application No.: US16627599Application Date: 2018-07-04
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Publication No.: US11587690B2Publication Date: 2023-02-21
- Inventor: Steven Antony Milton McNamara , Peter Buxton , David Kingham
- Applicant: Tokamak Energy Ltd.
- Applicant Address: GB Abingdon
- Assignee: Tokamak Energy Ltd.
- Current Assignee: Tokamak Energy Ltd.
- Current Assignee Address: GB Abingdon
- Agency: Michael Best & Friedrich LLP
- Priority: GB1710889 20170706
- International Application: PCT/GB2018/051874 WO 20180704
- International Announcement: WO2019/008349 WO 20190110
- Main IPC: G21D3/00
- IPC: G21D3/00 ; G05B13/02 ; G21B1/05 ; G21D3/08 ; G21D3/10

Abstract:
A method of controlling a plasma in a nuclear fusion reactor. The nuclear fusion reactor comprises sensors and plasma control inputs. An initial control model is provided, relating readings of at least a subset of the sensors to control of the plasma control inputs. A control loop is performed, comprising: operating the plasma control inputs in dependence upon the sensors according to the control model; determining correlations between readings of each of the sensors, and/or between readings of the sensors and states of the plasma control inputs; and adjusting the control model based on the determined correlations.
Public/Granted literature
- US20200168352A1 MACHINE LEARNING IN FUSION REACTORS Public/Granted day:2020-05-28
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