Avionics Wake Conflict Prediction for Intruder Aircraft Avoidance
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Solution Overview
Problem
Conventional wake turbulence avoidance techniques rely on pilot awareness and reactive measures, which are inadequate for predicting and mitigating future wake vortex conflicts, as they do not account for the dynamic movement and dissipation of wake vortices generated by other aircraft.
Innovation Solution
An avionics system equipped with an intruder aircraft detection device and processor that predicts the future path of an intruder aircraft, estimates the strength, size, and location of wake vortices, calculates potential trajectories for the subject aircraft, and maneuvers to avoid wake conflicts by comparing these factors in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional reactive wake avoidance techniques are used, then pilot awareness and manual avoidance are maintained, but future wake vortex conflicts cannot be predicted or mitigated proactively
Solution Approach 1:
The system performs preliminary actions by predicting the future positions of wake vortices before the subject aircraft encounters them. The processor calculates where wake vortices will be at future time points along the subject aircraft's flight path, enabling proactive avoidance rather than reactive response. This resolves the contradiction by establishing prediction capability without requiring overly complex systems, as it builds upon existing intruder detection functionality.
Solution Approach 2:
The patent introduces an intermediary computational layer that processes intruder aircraft data, predicts wake vortex trajectories, and generates avoidance guidance. This intermediary system acts as a mediator between raw sensor data and pilot action, automatically performing the complex calculations needed for wake avoidance while presenting simplified guidance to the pilot. This resolves the contradiction by handling complexity internally while maintaining operational simplicity.
2Object-affected harmful factors
If real-time wake vortex prediction and avoidance maneuvers are implemented, then turbulence exposure is reduced, but computational processing requirements increase
Solution Approach 1:
The system applies partial action by focusing computational resources on predicting only the relevant wake vortex parameters (position, strength, size) that directly affect the subject aircraft, rather than modeling all atmospheric conditions. The processor calculates wake vortex characteristics at discrete future time points along the flight path, providing sufficient prediction accuracy without excessive computational overhead. This resolves the contradiction by achieving adequate turbulence avoidance with moderate energy consumption.
Solution Approach 2:
The system utilizes existing aircraft systems and data sources (intruder detection device, flight path information, aircraft performance data) to generate wake predictions, rather than requiring entirely new sensing or measurement capabilities. The processor leverages data already available on modern aircraft, performing self-service through intelligent computation of wake parameters from existing operational data. This resolves the contradiction by reducing additional energy requirements while maintaining effective turbulence avoidance.
3Reliability
If automated wake avoidance maneuvers are implemented, then flight safety is enhanced, but pilot control and decision-making authority are reduced
Solution Approach 1:
The system implements feedback by continuously monitoring the subject aircraft's flight path, intruder aircraft positions, and wake vortex predictions, then adjusting avoidance guidance based on changing conditions. The processor recalculates wake vortex positions and recommended avoidance maneuvers in real-time, providing ongoing feedback to the pilot. This resolves the contradiction by maintaining pilot authority while enhancing safety through continuous automated monitoring and adaptive guidance that responds to dynamic flight conditions.
Solution Approach 2:
The system provides preliminary avoidance guidance to the pilot before wake conflicts become critical, allowing the pilot to take corrective action while maintaining full control authority. Rather than automated强制执行 maneuvers, the system calculates and presents avoidance options in advance, enabling the pilot to make informed decisions. This resolves the contradiction by enhancing safety through early warning and guidance while preserving pilot decision-making authority and control.
Data Source
AI summary
Avionics systems, aircraft, and methods are provided. An avionics system for a subject aircraft includes an intruder aircraft detection device and a processor. The processor is programmed to: identify an intruder aircraft using the intruder aircraft detection device; predict a future path of the intruder aircraft; estimate strength, size, and location characteristics of a wake vortex created by the intruder aircraft at future points in time along the future path; calculate a potential trajectory with potential positions of the subject aircraft at each of the future points in time; compare the potential positions with the strength, size, and location characteristics of the wake vortex at each of the future points in time to identify a wake conflict; and maneuver the subject aircraft based on the wake conflict.


