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Real-time MSE measurements for current profile control on KSTAR
M F M De Bock1, D Aussems, R Huijgen
1Eindhoven University of Technology, Eindhoven, The Netherlands. m.f.m.d.bock@tue.nl
The Review of Scientific Instruments
|November 7, 2012
Summary
Developing a real-time motional Stark effect diagnostic is crucial for controlling tokamak fusion reactor plasmas. This study presents methods to improve measurement accuracy and speed for future fusion power plants.
Area of Science:
- Nuclear Fusion Engineering
- Plasma Physics
- Diagnostic Technology
Background:
- Achieving controlled, long-pulse, burning plasmas is essential for fusion power reactors.
- Tokamak plasma stability and confinement depend on the accurate measurement of the q profile.
- Real-time q profile measurement is necessary for active plasma control.
Purpose of the Study:
- To develop a real-time motional Stark effect diagnostic for fusion reactors.
- To enhance the accuracy and robustness of real-time plasma profile measurements.
- To address key challenges in real-time diagnostic data acquisition and analysis.
Main Methods:
- Developing a real-time motional Stark effect diagnostic at the Korean Superconducting Tokamak for Advanced Research.
- Minimizing ad hoc parameters by extracting photo-elastic modulator retardance directly from the signal.
- Optimizing optical filter design to reduce overlapping beam spectra influence.
- Implementing a multi-channel, multi-harmonic phase locking algorithm for robust analysis.
Main Results:
- Demonstrated methods for self-extraction of retardance, reducing reliance on external calibration.
- Showcased optical filter optimization to mitigate spectral interference.
- Validated a fast and robust multi-channel analysis algorithm for real-time data.
Conclusions:
- The developed real-time motional Stark effect diagnostic is a significant step towards controlling fusion plasmas.
- The implemented techniques improve measurement reliability and speed, crucial for future fusion power plants.
- This work contributes to the advancement of diagnostic systems for sustainable fusion energy.
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