Comparison Study of Fourier and SVD Method for Plasma Mode Analysis in Tokamaks

Saadat, Shervin; Salem, M. K.; Goranneviss, Mahmoud; Khorshid, P.

doi:10.1007/s10894-010-9349-0

Cited by 8 publications

(1 citation statement)

References 4 publications

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“…The poloidal array formed by coils 1-12 can detect by m number. SVD and Fast Fourier transform (FFT) are the techniques used for analyzing data from these signals [14].…”

Section: Identification Of Arima Model Structurementioning

confidence: 99%

Stochastic modeling of plasma mode forecasting in tokamak

Saadat¹,

Salem

Ghoranneviss

et al. 2011

J. Plasma Phys.

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The structure of magnetohydrodynamic (MHD) modes has always been an interesting study in tokamaks. The mode number of tokamak plasma is the most important parameter, which plays a vital role in MHD instabilities. If it could be predicted, then the time of exerting external fields, such as feedback fields and Resonance Helical Field, could be obtained. Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average are useful models to predict stochastic processes. In this paper, we suggest using ARIMA model to forecast mode number. The ARIMA model shows correct mode number (m = 4) about 0.5 ms in IR-T1 tokamak and equations of Mirnov coil fluctuations are obtained. It is found that the recursive estimates of the ARIMA model parameters change as the plasma mode changes. A discriminator function has been proposed to determine plasma mode based on the recursive estimates of model parameters.

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“…The poloidal array formed by coils 1-12 can detect by m number. SVD and Fast Fourier transform (FFT) are the techniques used for analyzing data from these signals [14].…”

Section: Identification Of Arima Model Structurementioning

confidence: 99%

Stochastic modeling of plasma mode forecasting in tokamak

Saadat¹,

Salem

Ghoranneviss

et al. 2011

J. Plasma Phys.

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Research on IR-T1 Tokamak

Ghoranneviss

Meshkani

2017

Plasma Science and Technology for Emerging Economies

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Investigation of Tokamak Plasma MHD Activity Using FFT Analysis of Mirnov Coils Oscillations

2012

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A new method for measuring a horizontal plasma position using Mirnov oscillations is presented. This method for detecting a plasma position uses either a phase difference between Mirnov coil signals or an amplitude ratio of Mirnov coil signals. Experimental results obtained in the HYBTOK-II tokamak device are described. Here, Mirnov oscillations with poloidal and toroidal mode numbers m/n=2/1 are utilized. The horizontal plasma positions measured by using Mirnov coil signals are compared with those measured by using magnetic probe signals, and consistency between them is discussed. ƒL •[ ƒ• •[ ƒh:ƒ~ ƒ‹ ƒm ƒt •U "®,ƒv ƒ‰ ƒY ƒ}ˆÊƒ}ˆÊ 'u,ƒg ƒJ ƒ} ƒN,Ž¥ ‹C ƒv ƒ• •[ ƒu 1. ‚Ü ‚¦ ‚ª ‚« ƒgƒJƒ} ƒNOE^ ‚Ì ƒv ƒ‰ ƒY ƒ}•Â ‚ ¶•ž ‚ß'• 'u ‚É ‚¨‚¯‚¨‚¯ ‚é ƒv ƒ‰ ƒY ƒ}'OE ‚ÌˆÊ‚ÌˆÊ'u ‚Ì 'ª'è •û-@ ‚É ‚ÍˆÈ‰º‚ÍˆÈ‰º ‚ª ‚ae ‚-'m ‚ç‚ê ‚Ä ‚¢ ‚é•B (1) ƒv ƒ‰ ƒYƒ}'OE ‚Ì ŽüˆÍŽüˆÍ ‚É•Ý 'u ‚µ‚½Ž¥ ‹C ƒv ƒ• •[ ƒu ‚ð Žg ‚Á ‚Ä ƒ| ƒ•ƒC ƒ_ ƒ‹Ž¥ ŠE ‚Ì ‹-‚³‚ð'ª 'è ‚µ,ƒv ƒ‰ ƒY ƒ}"d-¬ ‚ª ‚Â ‚-‚éƒ| ƒ•ƒC ƒ_ ƒ‹Ž¥ ŠE ‚Ì ‹-"x "ä ‚© ‚çƒv ƒ‰ƒY ƒ}'OE ‚ÌˆÊ 'u ‚ð‹• ‚ß ‚é•û-@(1)(2)•B (2) •³ OE· ƒRƒC ƒ‹ ‚AEˆAE OE^ ƒRƒC ƒ‹ ‚ð-p ‚¢ ‚é•û-@(3)•B (3) •½ •t ƒvƒ‰ ƒY ƒ} ‚ÌŽ¥ ‹C-Ê ‚ª "™Ž¥ '©-Ê ‚AE‚È ‚é ‚± ‚AE ‚© ‚ç,ƒg ƒ•ƒC ƒ_ ƒ‹ •û OEü ‚É Žü ‰ñ ‚· ‚éƒ‹ •[ ƒv ‚ðŽg-p ‚· ‚é ‚± ‚AE‚É ‚ae ‚Á‚Ä ƒv ƒ‰ƒY ƒ} 'OE ‚Ì Žü •ã ‚É ‚¨‚¯‚¨‚¯ ‚éŽ¥ '© ‚ð 'ª 'è ‚µ, Ž¥'© ‚Ì •· ‚ðŽg ‚Á‚Ä ƒv ƒ‰ƒY ƒ} ‚ÌˆÊ 'u ‚ð‹• ‚ß ‚é•û-@(4)•B (4) ƒv ƒ‰ƒY ƒ} 'OE ‚Ì ŽüˆÍŽüˆÍ ‚É"z 'u ‚µ‚½ '½ •" ‚ÌŽ¥ ‹C ƒv ƒ• •[ ƒu ‚É ‚ae ‚Á‚Ä ƒ| ƒ•ƒC ƒ_ƒ‹Ž¥ ŠE ‚Ì •ª •z ‚ð 'ª 'è ‚µ,•½ •t ƒv ƒ‰ƒY ƒ}‚Ì •ÅŠOŠk Ž¥ ‹C-Ê ‚ð OEv ŽZ ‚· ‚é ‚± ‚AE‚É ‚ae ‚Á‚Ä ƒvƒ‰ ƒY ƒ}'OE ‚ÌˆÊ‚ÌˆÊ 'u ‚ð‹• ‚ß ‚é•û-@(5)•B ‚±‚ê ‚ç‚Ì •û-@ ‚Í,‚¢ ‚¸‚ê‚¸‚ê ‚àƒv ƒ‰ ƒYƒ} 'OE ‚É-¬ ‚ê ‚é"d-¬ ‚É ‚ae ‚Á ‚Ä•ì ‚ç‚ê ‚éŽ¥ ŠE ‚Ì ‹-‚³ ‚ðOEŸ •o ‚· ‚é ‚± ‚AE‚É ‚ae ‚Á‚Ä ƒv ƒ‰ ƒYƒ}'OE ‚ÌˆÊ‚ÌˆÊ 'u ‚ð'ª 'è ‚· ‚é ‚à‚Ì ‚Å ‚ ‚é•B

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Comparison Study of Fourier and SVD Method for Plasma Mode Analysis in Tokamaks

Cited by 8 publications

References 4 publications

Stochastic modeling of plasma mode forecasting in tokamak

Stochastic modeling of plasma mode forecasting in tokamak

Research on IR-T1 Tokamak

Investigation of Tokamak Plasma MHD Activity Using FFT Analysis of Mirnov Coils Oscillations

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