Multimachine Data-Based Prediction of High-Frequency Sensor Signal Noise for Resistive Wall Mode Control in ITER
Artikel i vetenskaplig tidskrift, 2016

The high-frequency noise measured by magnetic sensors, at levels above the typical frequency of resistive wall modes, is analyzed across a range of present tokamak devices including DIII-D, JET, MAST, ASDEX Upgrade, JT-60U, and NSTX. A high-pass filter enables identification of the noise component with Gaussian-like statistics that shares certain common characteristics in all devices considered. A conservative prediction is made for ITER plasma operation of the high-frequency noise component of the sensor signals, to be used for resistive wall mode feedback stabilization, based on the multimachine database. The predicted root-mean-square n = 1 (n is the toroidal mode number) noise level is 10(4) to 10(5) G/s for the voltage signal, and 0.1 to 1 G for the perturbed magnetic field signal. The lower cutoff frequency of the Gaussian pickup noise scales linearly with the sampling frequency, with a scaling coefficient of about 0.1. These basic noise characteristics should be useful for the modeling-based design of the feedback control system for the resistive wall mode in ITER.

resistive wall mode

Sensor noise

Författare

Yueqiang Liu

Chalmers, Rymd- och geovetenskap, Plasmafysik och fusionsenergi

S. A. Sabbagh

Columbia University

I. T. Chapman

Culham Lab

S. Gerasimov

Culham Lab

Y. Gribov

ITER

T. C. Hender

Culham Lab

V. Igochine

Max-Planck-Gesellschaft

M. Maraschek

Max-Planck-Gesellschaft

G. Matsunaga

Japan Atomic Energy Agency

M. Okabayashi

Princeton University

E. J. Strait

General Atomics

Fusion Science and Technology

1536-1055 (ISSN)

Vol. 70 3 387-405

Ämneskategorier

Reglerteknik

DOI

10.13182/fst15-207

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Senast uppdaterat

2020-11-05