Speaker
Description
To achieve the complex control of high-temperature, nonlinear fusion plasmas, the overall control task is decoupled into multiple parallel sub-tasks. To host these parallel tasks, the modular Lingshu plasma control architecture is designed as shown in Figure 1. At its core, a unified data flow management system is implemented within this architecture to coordinate all parallel components, thereby enabling integrated control over the plasma discharge.
This data flow management framework centers on a Data Engine, which uniformly manages intra-component data through a key-value mapping structure , as shown in Figure 2. It integrates a Shared Memory Manager (ShmMgr) to provide efficient, zero-overhead data exchange between components. Building upon this architecture, the system features two critical data services: a Just-In-Time Configuration Distribution Service, which dynamically resolves and delivers control parameters within each sub-millisecond control cycle (its operating principle is shown in Figure 3), and a Real-time Data Archiving Service designed for long-pulse operations, which ensures persistent storage without interfering with deterministic real-time performance (its workflow is illustrated in Figure 4).
The proposed framework has been validated through extensive experimental campaigns on the EAST tokamak. Configuration resolution and data archiving introduce minimal overhead (<20µs and <12µs, respectively, as detailed in Figure 5 and Figure 6), meeting strict real-time requirements. A simulated 25-hour discharge, illustrated in Figure 7, further confirmed its steady-state operational capability.
| Minioral | Yes |
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| IEEE Member | Yes |
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