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Model-based Static and Dynamic Filter Application to Resistive Wall Mode Identification and Feedback Control in DIII-D

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4 Author(s)
Yongkyoon In ; FAR-TECH, Inc., San Diego, CA ; Kim, Jin-Soo ; Humphreys, D.A. ; Walker, M.L.

A model-based algorithm has been developed and implemented in DIII-D to provide resistive wall mode (RWM) identification and feedback control. In particular, a dynamic Kalman filter has been installed to discriminate edge localized modes (ELMs) from RWM, in addition to a static matched filter. Recent experiments demonstrated that the Kalman filtering scheme was effective in discriminating ELM-noise from RWM. Whereas the state-space model for the Kalman filter used in the experiments was based on picture frame wall model, a more advanced model has been developed using wall surface current eigenmode approach. The wall eigenmode model-based algorithm is expected to be more effective in terms of ELM-discrimination, as well as prompt RWM response. The optimized Kalman estimates based on the developed state-space models will be combined with optimized state-feedback to build a model-based linear quadratic Gaussian (LQG) controller

Published in:

Decision and Control, 2006 45th IEEE Conference on

Date of Conference:

13-15 Dec. 2006