A control approach for plasma density in tokamak machines

Boncagni, L.; Pucci, Daniele; Piesco, F.; Zarfati, Emanuele; Mazzitelli, G.; Monaco, Salvatore

doi:10.1016/j.fusengdes.2013.03.025

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…Because the EKF uses a linearization of the nonlinear dynamics (25) in (31), the expressions for the matrices P k|k−1 (31), S k (33) and P k|k (37) are approximations of the true covariance of the prediction error…”

Section: Tc Blanken Et Al Fusion Engineering and Design 126 (2018)mentioning

confidence: 99%

“…where p α,k|k , α = 1, 2, …, m are the diagonal elements of the covariance matrix P k|k (37). Also, the updated interferometer signals are presented in the figures of Sections 3.4 and 3.5.…”

Section: Tc Blanken Et Al Fusion Engineering and Design 126 (2018)mentioning

confidence: 99%

“…We present a control-oriented and real-time nonlinear model for radial (1D) plasma density transport with additional particle inventories (0D) of the wall and vacuum. Compared to existing multi inventory (0D) models for density control [26,[32][33][34][35][36][37], we replace the plasma particle inventory by the spatial distribution of the plasma density. Moreover, we include the influence of plasma equilibrium, temperature, current and operational modes (limited or diverted plasma, low or high confinement [7]) on the transport processes and diagnostics.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Control-oriented modeling of the plasma particle density in tokamaks and application to real-time density profile reconstruction

Blanken

Felici

Rapson

et al. 2018

Fusion Engineering and Design

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Section: Tc Blanken Et Al Fusion Engineering and Design 126 (2018)mentioning

confidence: 99%

Section: Tc Blanken Et Al Fusion Engineering and Design 126 (2018)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Control-oriented modeling of the plasma particle density in tokamaks and application to real-time density profile reconstruction

Blanken

Felici

Rapson

et al. 2018

Fusion Engineering and Design

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“…The control of plasma parameters e.g. plasma current, average particle density [2][3][4][5], temperature and position has been a challenging task in recent years. Real-time electron density control [3,6] plays a crucial role in magnetically confined fusion machines which is affected by plasma confinement, the interaction of the plasma with the walls, conditioning of the wall, gas injection, and pumping [4].…”

Section: Introductionmentioning

confidence: 99%

Real-time density feedback control in ADITYA-U Tokamak

et al. 2022

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A real-time density feedback control system with a 100 GHz heterodyne interferometer has been designed, developed, and commissioned in ADITYA-U tokamak. It consists of three subsystems i.e. density measurement, feedback control, and gas fuelling. A proportional feedback controller is configured in voltage amplitude mode to operate the piezo valve for gas injection. Experiments are performed during plasma discharges to achieve a predefined density evolution as well as constant density. Stickiness of the piezo valve restricts the temporal response of the valve. It is required to minimize during the plasma discharge for a fast density response which is achieved by a short preceding voltage pulse known as a stick pulse. This paper describes the implementation of a real-time density feedback control system which is successfully validated using another existing 140 GHz interferometer system in ADITYA-U. Moreover, the developed system consumes low power, is cost-effective and re-programmable, can be easily upgraded, and provides interlock with plasma parameters.

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