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AI Architecture › L1 · Control Plane
L1 · Control Plane

Diagnostics Constellation Timing

Thomson, interferometry, Mirnov, flux loops, ECE, fast-ion, and neutron channels are time-aligned so the control state is a single coherent snapshot.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L1 · CONTROL PLANEHard real-time actuation and the autonomous failsafe.1Edge FPGAµs-determinism2Real-Time Actuationcoils · heating · fuel3Hardware Failsafeautonomous trip4Sync Gatephase-locked timing5Signal I/OADC / DAC6Watchdogliveness & interlocksMACHINE TIEDrives magnets, ice-piston, and gas puff on the sub-10 µs loop.KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORCONTROL PLANESHEET 03REV. 2026-08L1 · AI-NATIVE STACK
L1 · Control Plane — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

A constellation, not a sensor

Control of either machine draws on many diagnostics at once. The breeder equilibrium needs magnetics (Mirnov coils, flux loops) plus profile diagnostics (Thomson scattering, interferometry, ECE); disruption avoidance adds fast-ion and neutron-flux cues. The burner needs density and potential diagnostics across its mirror cells. L1 treats these as one constellation whose members must be sampled coherently.

Why alignment matters

Equilibrium reconstruction solves for a self-consistent state; feeding it magnetics from one instant and profiles from another produces a physically inconsistent solution. Kronos samples every constellation member on the shared clock, so the reconstruction operates on a true snapshot. Time-alignment error directly becomes state-estimate error, so it is budgeted in nanoseconds.

Per-channel character

Channels differ in native rate and latency, so L1 aligns them to a common cadence: fast magnetics may sample far above the control rate and be decimated coherently, while slower profile diagnostics are timestamped and interpolated to the control instant. The shared clock makes both operations exact rather than approximate.

Handling dropouts

Any channel can drop. The ingress path flags the gap and marks the state vector's validity mask; L3's GNN can impute the missing value from the sensor topology while L1 continues on the reduced-but-known state. Because the failsafe path never relies on imputed data, a dropout degrades quality, not safety, consistent with the determinism boundary.

Content reviewed August 2026 · design-and-simulation stage