Bayesian fuzzy logic-based estimation of electron cyclotron heating (ECH) power deposition in MHD control systems

•A couple of algorithms to diagnose if Electron Cyclotron Heating (ECH) power is deposited properly on the expected deposition minor radius are proposed.•The algorithms are based on Bayesian theory and Fuzzy logic.•The algorithms are tested on the off-line experimental data acquired from Frascati To...

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Bibliographic Details
Published in:Fusion engineering and design 2017-06, Vol.119, p.35-41
Main Authors: Davoudi, Mehdi, Davoudi, Mohsen
Format: Article
Language:English
Subjects:
Algorithms
Bayesian analysis
Bayesian filter
Control systems
Cyclotrons
Data acquisition
Data fusion
Deposition
Diagnosis
Diagnostic systems
Electron cyclotron heating
Fusion
Fuzzy logic
Heating
Magnetohydrodynamics
Particle accelerators
Plasma control
Plasma physics
Thermonuclear fusion
Tokamak devices
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Summary:•A couple of algorithms to diagnose if Electron Cyclotron Heating (ECH) power is deposited properly on the expected deposition minor radius are proposed.•The algorithms are based on Bayesian theory and Fuzzy logic.•The algorithms are tested on the off-line experimental data acquired from Frascati Tokamak Upgrade (FTU), Frascati, Italy.•Uncertainties and evidences derived from the combination of online information formed by the measured diagnostic data and the prior information are also estimated. In the thermonuclear fusion systems, the new plasma control systems use some measured on-line information acquired from different sensors and prior information obtained by predictive plasma models in order to stabilize magnetic hydro dynamics (MHD) activity in a tokamak. Suppression of plasma instabilities is a key issue to improve the confinement time of controlled thermonuclear fusion with tokamaks. This paper proposes a couple of algorithms based on Bayesian theory and Fuzzy logic to diagnose if Electron Cyclotron Heating (ECH) power is deposited properly on the expected deposition minor radius (rDEP). Both algorithms also estimate uncertainties and evidences derived from the combination of the online information formed by the measured diagnostic data and the prior information. The algorithms have been employed on a set of off-line ECE channels data which have been acquired from the experimental shot number 21364 at Frascati Tokamak Upgrade (FTU), Frascati, Italy.
ISSN:0920-3796
1873-7196
DOI:10.1016/j.fusengdes.2017.04.105