Skip to content
Technology How it works Breeder — Hyperion Burner — Aegis Burner — MetroVolt AI-Native Architecture Magnets Fuel cycle Safety Roadmap
Solutions AI & Data Centers Defense & Government Grid & Baseload Neutron Detection Quantum
Learn Technical Library
Proof Publications Whitepapers Technical Library Open Science & Reproducibility The Honest Gates
Company About / Mission Leadership Environment Health & Safety Investors Careers Press Contact
3D Model
AI Architecture › Physical Interfaces
Physical Interfaces

PF and CS Coil Supply Interface

The poloidal-field and central-solenoid supplies are the breeder's shape and position actuators, driven by MPC and clamped by the field envelope.

STRATEGY / SLOW ▲ ▼ MICROSECOND REAL-TIMEL7Ecosystem & Strategytelemetry ▲ control ▼open ▸L6Experience & Visualizationtelemetry ▲ control ▼open ▸L5Applications & Copilotstelemetry ▲ control ▼open ▸L4Orchestrationtelemetry ▲ control ▼open ▸L3Twin Modeling & AItelemetry ▲ control ▼open ▸L2Data Fabrictelemetry ▲ control ▼open ▸L1Control Planetelemetry ▲ control ▼open ▸L0Foundationtelemetry ▲ control ▼open ▸PHYSICAL S.M.A.R.T. GENERATOR PLANTBREEDER · HYPERION1R0 1.2 m · A 2.5 · 16.84 T · δ −0.30BURNER · TANDEM MIRROR2317 T throat · 26.49 T plug · fₙ 5.44% · DEC1 center stack + plasma · 2 high-field plug · 3 expander → direct converterCOLOR GRAMMAR strategy AI-workflow infra/data models reactor/DECLINE SEMANTICStelemetry (µs)controlKRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORMASTER BLUEPRINTSHEET 01REV. 2026-08L0-L7 · 2 MACHINES
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.

Role in the breeder

On Hyperion the poloidal-field (PF) and central-solenoid (CS) coils set plasma position, elongation, and the negative triangularity δ = −0.30. The supply interface converts shape-MPC coil-current trajectories into regulated currents while respecting slew and cross-coil field limits.

Command and feedback

python
# shape MPC output -> PF/CS supply interface
I_coils = shape_mpc(shape_meas, shape_ref, twin)   # L3
for k in pf_cs_coils:
    supply[k].command(I_coils[k], dIdt_max[k])     # L1
# feedback: measured coil currents + reconstructed boundary
shape_meas = equilibrium_recon(flux_loops, mirnov)

The interface is multivariable: a single triangularity change moves several coils together, and the same coils also hold vertical position. Allocation and slew reserve are handled inside the MPC weighting so no coil is driven to its limit without margin.

Coupling to stability

Owner: L1 for the regulated current loop; L3 for the setpoint trajectory. Timing: shape in tens of ms, vertical stabilization sub-ms. Negative triangularity is a shape target the interface must hold accurately because it is central to the breeder's edge-stability strategy. Design-and-simulation specification, exercised against the twin ahead of Q2 2027 construction start.

Content reviewed August 2026 · design-and-simulation stage