FIELDMIND LABCOMPUTATIONAL R&D RU
P1Propulsion2025

Numerical proof-of-concept

P1: Propulsion Autopilot in a Driven–Dissipative Field

A self-tuning controller coordinates frequency, phase, and PWM duty in a lossy wave/jet chamber model to maximise phase locking and useful through-flow.

01

Research question

Can a closed-loop controller find and retain a robust operating basin while detecting drift and recovering from degraded states?

02

Method and experiment series

Nine stages progress from power-balance baselines and parameter scans to closed-loop ω/φ/d tuning, validation tails, CUSUM drift detection, a warm-start statebook, rollback, and panic safeguards.

Series: P1.1–P1.9 · ω/φ/d control · drift · recovery · safety

03

Key results

  • The report maps candidate locking/through-flow basins before enabling control.
  • Validation tails and rollback constrain acceptance of online parameter updates.
  • CUSUM and the statebook provide model-level drift detection and recovery in the resilient mode.

04

What is not established

This is a controller study in a normalized driven–dissipative field. It does not establish net thrust, propulsive efficiency, a working engine, or compliance with conservation and full fluid/plasma physics in hardware.

This work is a numerical proof-of-concept. It establishes model-level behaviour under the stated assumptions and does not replace independent laboratory validation.