Overview and Plan of FAR-TECH RWM Identification Via Kalman Filter and Implementation of Model-Based Feedback Control,

FAR-TECH is developing, implementing, and validating real-time resistive-wall-mode (RWM) identification algorithms and model-based RWM feedback algorithms on DIII-D. For RWM identification, a numerically simulated spatial pattern of the sensor signals (matched filter) can be matched to the measured sensor signals in real-time. Temporal behavior of the RWMs is further utilized by a Kalman filter in the identification to discriminate them from other noise/modes, i.e. edge localized modes. We will present modeling of the RWM signals at sensor locations by FARVAC, implementation of RWM identification algorithms on DIII-D, internal RWM mode structure identification, feedback controller algorithms, and ongoing validation results. Our new effort on identification of RWMs with toroidal modes for $n>1$ will be discussed.