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AI Architecture › L5 · Applications & Copilots
L5 · Applications & Copilots

Plasma Copilot: Fueling and Density Advising

Advising on gas-puff and pellet fueling to hold density profiles for the breeder and central-cell/plug density for the burner, inside stability limits.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L5 · APPLICATIONS & COPILOTSAgentic copilots that reason over the machine.1Plasma Copilotscenario design2Engineering Copilotsubsystem analysis3Operations Copilotrunbooks & procedures4Agentic Toolsbounded action-taking5Knowledge BaseRAG over the fabric6Guardrailssafety-boundedMACHINE TIEReads the twin and fabric; proposes actions that route through L4.KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORAPPLICATIONS & COPILOTSSHEET 07REV. 2026-08L5 · AI-NATIVE STACK
L5 · Applications & Copilots — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

Density as a shared control axis

Fueling sets density, and density sets a large share of the physics on both machines. On the breeder (Hyperion), density controls the Greenwald-fraction margin, radiated-power balance, and fusion rate at the 85.0 MW design point. On the burner (Aegis / MetroVolt), central-cell and end-plug densities set the ambipolar potential and confinement. The Plasma Copilot advises on the fueling schedule that reaches a target density profile without crossing limits.

Actuators and their dynamics

The copilot proposes a schedule and predicts the resulting profile with the twin's transport model, then checks it against density-limit and radiation constraints. Fueling advice for the breeder is explicitly linked to disruption risk because density-limit proximity is a dominant precursor.

text
advise_fueling(n_target(rho)):
  schedule = mix(gas_puff(t), pellet(t))
  n_pred   = twin.transport(schedule)
  check:  breeder -> n/n_G < margin, P_rad/P_heat < f_rad_max
          burner  -> n_plug >= n_plug_min(phi), n_cc in band
  return schedule + margins + UQ   (proposal only)

Fueling schedules are proposals to the L1 fueling controllers. The copilot never commands a valve or an injector directly; a change is routed through L4 authorization and, for anything with a plant side-effect, requires operator approval. The tritium and helium-3 product framing (breeder ~4 kg/yr tritium class, ~1.97 kg/yr helium-3) is context the copilot can cite, not a knob it tunes. Fueling advice is validated against the twin's transport module and the frozen design point.

Content reviewed August 2026 · design-and-simulation stage