Real-time estimation of the electron temperature profile in DIII-D by leveraging neural-network surrogate models

Morosohk, Shira; Schuster, Eugenio

doi:10.1002/ctpp.202200153

Title: Real-time estimation of the electron temperature profile in DIII-D by leveraging neural-network surrogate models

Journal Article · Tue Jan 03 00:00:00 EST 2023 · Contributions to Plasma Physics

DOI:https://doi.org/10.1002/ctpp.202200153· OSTI ID:1970193

Morosohk, Shira ^[1]; Schuster, Eugenio ^[1]

Lehigh Univ., Bethlehem, PA (United States)

Abstract Control of both the magnitude and the shape of tokamak profiles will be necessary to achieve stable, high‐performance plasmas. In order to reject disturbances in real time, feedback‐control algorithms rely on accurate real‐time knowledge of the plasma state. When diagnostics alone are insufficient, because they are limited in number or their measurements are too noisy, observers can be used to combine diagnostic data with a response model to provide a better estimation of different plasma properties. An observer has been developed to estimate the electron temperature profile in real time using both diagnostic data from the Thomson scattering system and a model based on the electron heat transport equation describing the evolution of the electron temperature profile. Neural network surrogate models are leveraged to help improve the overall model prediction while staying within computation time constraints for real‐time use. The observer algorithm is shown in offline tests to produce smooth profiles that are consistent with both the diagnostic data and the electron heat transport equation. When implemented into the real‐time plasma control system, this observer will provide valuable information on the electron temperature profile to many potential feedback‐control applications.

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Research Organization:: General Atomics, San Diego, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC) Fusion Energy Sciences (FES); National Science Foundation (NSF); USDOE

Grant/Contract Number:: FC02-04ER54698; SC0010661; 1842163; DE‐ FC02‐04ER54698; DE‐SC0010661

OSTI ID:: 1970193

Alternate ID(s):: OSTI ID: 1983504

Journal Information:: Contributions to Plasma Physics, Vol. 63, Issue 5-6; ISSN 0863-1042

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Title: Real-time estimation of the electron temperature profile in DIII-D by leveraging neural-network surrogate models

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