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6. Conclusion and future work
We examine several ANN models for analyzing the staircase mode observed [4] in NB-driven C-2U FRCs. Using an optim- ized LSTM, we are able to classify this instability to a moder- ate degree of accuracy ( 85%). The LSTM structure is also able to perform regression on the excluded flux radius, R∆φ, the signal which most clearly shows staircase instability in these experiments, with a prediction lead time of 0.2 ms. We hope to improve accuracy by expanding this experiment to a larger dataset, which will likely decrease the amount of overfitting. In addition, we hope to repeat the variable-importance exper- iment, with more trials, on this larger dataset.
Since performing this study the successor to the C-2U device, C-2 W, has commenced operation and had a success- ful experimental campaign [29]. This machine has a signific- antly larger and higher fidelity diagnostic suite [30] and, with its machine-readable Machine State Database (MSDB) it is an ideal target of AI research. We intend to apply the methods developed here to that new device. In particular, there are many more shots (at least 4000) available for study from C-2 W. More shots, as well as a wider variety of signals, will facilit- ate repeating the variable importance study on a much larger scale, up to and including an exhaustive search over input sig- nals, rather than random trials.
Finally, a major goal is increasing the lead time of the pre- diction detailed in section 5. We have demonstrated that the network can predict an instability reasonable accurately up to 0.2 ms before it occurs. Increasing the amount of warning time is vital for avoiding this type of instability via a feedback mechanism. Our prediction time of 0.2 ms is at least an order of magnitude longer than the frequency of many of the phys- ical processes which are suspected to play a role in plasma instability (e.g. the plasma rotation frequency ( 0.02 ms), the microburst fluctuation frequency ( 0.01 ms), and the fast ion orbit frequency ( 0.001 ms)). In particular, recall from section 1 that neutral beams are one of the main control mechanisms of the C-2U device. The time required to turn NBI on or off, or to change their energy by 10-20 kV, is much less than 100 μs (see [31], figure 5), making our lead time of 0.2 ms (twice as much) a plausible element of a control loop to manage flux radius. Our work is therefore a useful mechanism for real-time monitoring of plasma stability and a vital step towards increas- ing plasma longevity.
Acknowledgment
This work was performed as part of the Summer Internship Program at TAE Technologies, Inc. We would like to thank the TAE team for their support and contributions. We are also grateful to the TAE shareholders for their continued support. This work was also supported in part by NSF NRT Award Number 1633631.
ORCID iDs
Cory Scott https://orcid.org/0000-0002-5561-2368
Eric Mjolsness https://orcid.org/0000-0002-9085-9171 References
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