Optical plasma boundary reconstruction based on least squares for EAST Tokamak

Reconstructing the shape and position of plasma is an important issue in Tokamaks. Equilibrium and fitting (EFIT) code is generally used for plasma boundary reconstruction in some Tokamaks. However, this magnetic method still has some inevitable disadvantages. In this paper, we present an optical plasma boundary reconstruction algorithm. This method uses EFIT reconstruction results as the standard to create the optimally optical reconstruction. Traditional edge detection methods cannot extract a clear plasma boundary for reconstruction. Based on global contrast, we propose an edge detection algorithm to extract the plasma boundary in the image plane. Illumination in this method is robust. The extracted boundary and the boundary reconstructed by EFIT are fitted by same-order polynomials and the transformation matrix exists. To acquire this matrix without camera calibration, the extracted plasma boundary is transformed from the image plane to the Tokamak poloidal plane by a mathematical model, which is optimally resolved by using least squares to minimize the error between the optically reconstructed result and the EFIT result. Once the transform matrix is acquired, we can optically reconstruct the plasma boundary with only an arbitrary image captured. The error between the method and EFIT is presented and the experimental results of different polynomial orders are discussed.

[1]  R. Mitteau,et al.  A Possible Method of Carbon Deposit Mapping on Plasma Facing Components Using Infrared Thermography , 2020, ArXiv.

[2]  S. J. Zweben,et al.  Optical imaging of edge turbulence in the caltech tokamak , 1983 .

[3]  A. Roquemore,et al.  High speed infrared camera diagnostic for heat flux measurement in NSTX. , 2010, The Review of scientific instruments.

[4]  Michael Finkenthal,et al.  Dual transmission grating based imaging radiometer for tokamak edge and divertor plasmas. , 2012, The Review of scientific instruments.

[5]  Piotr Perek High-performance Image Processing System for Plasma Diagnostics , 2013 .

[6]  A. Pironti,et al.  Fusion, tokamaks, and plasma control: an introduction and tutorial , 2005, IEEE Control Systems.

[7]  R Akers,et al.  Optical boundary reconstruction of tokamak plasmas for feedback control of plasma position and shape. , 2010, The Review of scientific instruments.

[8]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  M Maarten Steinbuch,et al.  A fast, magnetics-free flux surface estimation and q-profile reconstruction algorithm for feedback control of plasma profiles , 2013 .

[10]  S. J. Zweben,et al.  Advances in fast 2D camera data handling and analysis on NSTX , 2010 .

[11]  Peter Gritzmann,et al.  3D particle tracking velocimetry using dynamic discrete tomography , 2013, Comput. Phys. Commun..

[12]  Pan Qi,et al.  Application of Infrared Thermography in NDT of Plasma-Facing Components for Tokamaks , 2008 .

[13]  Vincent Martin,et al.  Thermal Event Recognition Applied to Protection of Tokamak Plasma-Facing Components , 2010, IEEE Transactions on Instrumentation and Measurement.

[14]  M Maarten Steinbuch,et al.  Real-time optical plasma boundary reconstruction for plasma position control at the TCV Tokamak , 2014 .

[15]  T. Szabolics,et al.  Dust Observation in the COMPASS Tokamak Using Fast Camera , 2013 .

[16]  Abdul Qayyum,et al.  Initial Plasma Formation in the GLAST-II Spherical Tokamak , 2016 .

[17]  Shu Shuangbao,et al.  Plasma Edge Detection and Tracking in the EAST Superconducting Tokamak Discharge , 2011, 2011 Third International Conference on Measuring Technology and Mechatronics Automation.

[18]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  S. J. Zweben,et al.  Derivation of time-dependent two-dimensional velocity field maps for plasma turbulence studies , 2006 .

[20]  Calvin Domier,et al.  The general optics structure of millimeter-wave imaging diagnostic on TOKAMAK , 2016 .