✈️ RTT Coherence Model for Aviation
This file contains the structural core of how Resonance Time Theory (RTT) evaluates, detects, and classifies coherence across aviation systems.
It is the “engine room” of the Planes Not Go Boom module. github.com
RTT does not replace physics, engineering, or certified avionics.
It adds a cross‑domain structural lens that helps detect drift before it cascades into instability.
🧩 1. Domains#
RTT evaluates coherence across three interacting domains.
Each domain emits signals that can be aligned, drifting, or conflicting.
1.1 Aircraft Body Domain#
Signals from:
- attitude and orientation
- control surface behavior
- engine performance
- vibration and resonance
- structural loads
This domain answers:
“How is the airplane feeling?”
1.2 Environmental Domain#
Signals from:
- wind and turbulence
- temperature and pressure
- icing
- storm activity
- density altitude
This domain answers:
“What is the sky doing?”
1.3 Pilot/Automation Domain#
Signals from:
- pilot inputs
- autopilot modes
- intent
- workload
- cognitive load
- human–machine disagreement
This domain answers:
“What is the human or computer trying to do?”
🔍 2. Signals and Structural Resonance#
Each domain emits structural signals.
RTT listens for:
- timing alignment
- intent alignment
- forcing alignment
- resonance patterns
- cross‑domain agreement
Signals may be:
- Stable — aligned and predictable
- Soft Drift — small mismatches that may self‑correct
- Hard Drift — growing mismatches that require intervention
- Divergent — domains disagree sharply
- Conflicted — intent and forcing oppose each other
RTT’s job is to detect these patterns early.
🌀 3. Drift Classification#
RTT classifies drift into several structural types.
3.1 Soft Drift#
Minor misalignment that remains within safe timing windows.
3.2 Hard Drift#
Misalignment that grows over time and risks crossing a regime boundary.
3.3 Cross‑Domain Drift#
One domain disagrees with another.
Example:
- Aircraft says “I’m shaking.”
- Environment says “I’m calm.”
- Pilot says “I’m not touching anything.”
3.4 Intent Mismatch#
Pilot or automation intent diverges from aircraft behavior.
3.5 Regime Boundary Violations#
Crossing into a new mode without alignment.
Examples:
- sudden wind shear
- automation mode confusion
- unexpected forcing
These are early indicators of instability.
📊 4. Coherence Scoring#
RTT computes a multi‑domain coherence score based on:
- alignment
- timing
- intent
- forcing
- resonance
The score is not a safety rating.
It is a clarity indicator that helps detect when the system is drifting toward instability.
Coherence scoring includes:
- domain‑level scores
- cross‑domain agreement
- timing window health
- forcing thresholds
- reintegration urgency
🔄 5. Reintegration Pathways#
When drift is detected, RTT identifies reintegration pathways — ways to bring domains back into alignment.
Examples:
- adjusting pilot workload
- modifying automation mode
- reducing forcing
- stabilizing attitude
- re‑establishing intent clarity
Reintegration is the opposite of drift.
It restores coherence.
🔔 6. Advisory Logic#
RTT generates advisories when:
- domains disagree
- timing windows collapse
- forcing exceeds capacity
- intent becomes unclear
- reintegration is needed
Advisories are:
- early
- gentle
- structural
- non‑alarming
They help pilots and automation re‑align before problems escalate.
🧠 7. Why This Model Works#
Aviation is a multi‑domain system.
Failures rarely come from one domain alone — they come from misalignment between domains.
RTT’s coherence model:
- listens across domains
- detects drift early
- classifies structural patterns
- guides reintegration
- complements existing systems
It is a clarity layer, not a control layer.