Aircraft Approach Stabilization via Dynamic Scenario Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Achieving a stabilized approach for aircraft in challenging conditions such as adverse weather, on-board malfunctions, or unplanned deviations is difficult, often leading to increased pilot workload and safety risks, as existing systems may not align with pilot experience and can result in unstabilized approaches.
Innovation Solution
A system that determines multiple scenarios for an aircraft's approach path to a stabilization target position, optimizing speed and configuration changes for each segment to ensure compliance with stabilization criteria, providing a graphical indication of recommended configuration changes to the pilot.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing approach stabilization systems constrain the aircraft to particular trajectories and configurations, then safety is improved, but pilot workload increases and the system conflicts with pilot experience
Solution Approach 1:
The system dynamically generates multiple approach scenarios with different trajectories and configuration sequences based on real-time aircraft state and environmental conditions, allowing flexible adaptation rather than rigid constraint to fixed procedures. This resolves the contradiction by providing safety through dynamic optimization while maintaining ease of operation through pilot choice and situational awareness.
Solution Approach 2:
The approach path is segmented into multiple discrete scenarios, each with specific configuration sequences and trajectories. The pilot can select among these pre-calculated segments rather than being constrained to a single rigid procedure. This segmentation provides safety through structured guidance while reducing workload by presenting manageable options rather than complex continuous control.
2Use of energy by moving object
If existing systems recommend extended drag configuration sequences, then energy management is controlled, but the approach duration increases beyond pilot expectations
Solution Approach 1:
The system optimizes energy management by dynamically adjusting configuration parameters (flap settings, gear position, speedbrake usage) and transition timing based on real-time energy state assessment. Multiple scenarios provide different parameter sequences that balance energy control with time efficiency, allowing the pilot to select the optimal balance between energy management and approach duration.
Solution Approach 2:
The system provides scenario options that use drag configurations selectively rather than continuously. By offering partial action (using drag only when needed for energy management) rather than excessive action (continuous drag), the system achieves proper energy control without unnecessarily extending approach duration beyond pilot expectations.
3Ease of manufacture
If existing systems provide fixed configuration sequences, then standardization is achieved, but adaptability to unplanned deviations and emergency situations is reduced
Solution Approach 1:
The system dynamically generates multiple approach scenarios based on real-time assessment of aircraft state, environmental conditions, and deviation from planned procedures. This dynamic generation provides standardized structures for normal operations while automatically adapting to unplanned deviations and emergencies, resolving the contradiction between standardization and adaptability.
Solution Approach 2:
The scenario generation system serves multiple functions: it provides standardized procedures for normal operations, alternative paths for unplanned deviations, and emergency recovery options. This multi-functionality achieves both standardization through structured procedures and adaptability through scenario diversity, allowing the same system to handle various operational contexts.
Data Source
AI summary
Methods and systems are provided for guiding or otherwise assisting operation of a vehicle to intersect a stabilized approach to a destination. One exemplary method of assisting an aircraft for landing at an airport involves obtaining, from a system onboard the aircraft, a current position of the aircraft and a current velocity of the aircraft, determining a descent strategy for the aircraft from the current position to an initialization point for a stable approach to the airport based at least in part on the current position and the current velocity, and providing indication of the descent strategy on a display device. The descent strategy is determined based on one or more validation criteria associated with the initialization point so that one or more predicted values for one or more characteristics of the aircraft satisfy the one or more validation criteria at the initialization point.


