AION-CORE v19.2: Robust Vertical Stability Control in Spherical Tokamaks via Adaptive Kalman Filtering and Realistic Physics Modeling
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| Format: | Recurso digital |
| Language: | English |
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2026
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| _version_ | 1866901282624634880 |
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| author | Brasil de Souza, Guilherme |
| author_facet | Brasil de Souza, Guilherme |
| contents | <p>The reliable stabilization of elongated plasmas is a prerequisite for the success of magnetic confinement fusion. Vertical Displacement Events (VDEs) in highbeta spherical tokamaks, such as NSTX-U, present a</p> <p>formidable control challenge due to high growth rates</p> <p>(γ ≈ 500 rad/s) and significant sensor noise. This paper presents the latest iteration of the AION-CORE</p> <p>architecture, a deterministic, dual-layer control kernel designed for sub-microsecond response. The core</p> <p>innovations in v19.2 include the replacement of the</p> <p>Alpha-Beta filter with an Adaptive Kalman Filter</p> <p>(AKF) for optimal state estimation, and the integration of a **Realistic Physics Model** incorporating</p> <p>effective plasma mass, wall damping, and **RL Actuator Dynamics**. We demonstrate, through highfidelity simulation, that this hybrid approach successfully maintains the plasma within acceptable limits,</p> <p>showcasing the SMC Guardian’s robustness against a</p> <p>complex, non-ideal plant. The architecture is optimized for FPGA implementation, ensuring deterministic, low-latency operation essential for future fusion</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18344359 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AION-CORE v19.2: Robust Vertical Stability Control in Spherical Tokamaks via Adaptive Kalman Filtering and Realistic Physics Modeling Brasil de Souza, Guilherme fusion energy tokamak plasma physics vertical displacement events De Lange Syndrome/prevention & control VDE control magnetic confinement control systems Kalman filter sliding mode control adaptive control SMC guardian NSTX-U spherical tokamak FPGA real-time control deterministic control plasma stability fusion reactor state estimation Python scientific computing nuclear fusion <p>The reliable stabilization of elongated plasmas is a prerequisite for the success of magnetic confinement fusion. Vertical Displacement Events (VDEs) in highbeta spherical tokamaks, such as NSTX-U, present a</p> <p>formidable control challenge due to high growth rates</p> <p>(γ ≈ 500 rad/s) and significant sensor noise. This paper presents the latest iteration of the AION-CORE</p> <p>architecture, a deterministic, dual-layer control kernel designed for sub-microsecond response. The core</p> <p>innovations in v19.2 include the replacement of the</p> <p>Alpha-Beta filter with an Adaptive Kalman Filter</p> <p>(AKF) for optimal state estimation, and the integration of a **Realistic Physics Model** incorporating</p> <p>effective plasma mass, wall damping, and **RL Actuator Dynamics**. We demonstrate, through highfidelity simulation, that this hybrid approach successfully maintains the plasma within acceptable limits,</p> <p>showcasing the SMC Guardian’s robustness against a</p> <p>complex, non-ideal plant. The architecture is optimized for FPGA implementation, ensuring deterministic, low-latency operation essential for future fusion</p> |
| title | AION-CORE v19.2: Robust Vertical Stability Control in Spherical Tokamaks via Adaptive Kalman Filtering and Realistic Physics Modeling |
| topic | fusion energy tokamak plasma physics vertical displacement events De Lange Syndrome/prevention & control VDE control magnetic confinement control systems Kalman filter sliding mode control adaptive control SMC guardian NSTX-U spherical tokamak FPGA real-time control deterministic control plasma stability fusion reactor state estimation Python scientific computing nuclear fusion |
| url | https://doi.org/10.5281/zenodo.18344359 |