AI-Driven Auto Brake Valve Control for Runway Overrun Response
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Solution Overview
Problem
Current runway overrun awareness and alerting systems (ROAAS) require manual intervention from flight crews to operate the auto brake selector switch during critical situations, diverting attention from other crucial tasks and lacking integration with braking systems for autonomous responses.
Innovation Solution
A system and method that utilize a trained AI/ML model to automatically set the auto brake valve based on ROAAS output data, such as runway conditions and distance remaining, allowing for autonomous application of maximum brakes during overrun alerts, thereby reducing the need for manual intervention by flight crews.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual ABS switch setting is used to control the auto brake valve, then the flight crew can directly control the deceleration rate, but the flight crew's attention is diverted from other crucial tasks during critical situations
Solution Approach 1:
The ROAAS system automatically determines and applies the appropriate brake setting based on runway overrun risk assessment, eliminating the need for manual crew intervention. The system serves itself by autonomously monitoring parameters, evaluating risk, and controlling the auto brake valve without requiring flight crew attention during critical situations.
2Reliability
If the ROAAS provides real-time aircraft energy state information and runway overrun alerts, then the system can identify critical situations, but the system lacks integration with braking systems for autonomous responses
Solution Approach 1:
The patent merges the ROAAS runway overrun alert system with the auto brake valve control system. The previously separate alerting function is integrated with the braking system, allowing the ROAAS to not only detect runway overrun risks but also directly control the auto brake valve to apply appropriate deceleration rates, creating a unified autonomous response system.
3Extent of automation
If the system integrates AI/ML model with ROAAS output data to automatically set ABS brake setting, then autonomous response capability is enhanced, but the system complexity increases
Solution Approach 1:
The patent introduces an intermediary AI/ML model that processes ROAAS output data and translates it into appropriate ABS brake settings. This intermediary component bridges the gap between the simple alerting system and the complex braking control, enabling autonomous decision-making while maintaining a clear separation of functions and managing system complexity through modular architecture.
Data Source
AI summary
A system may include an auto brake valve installed in an aircraft, an auto brake selector (ABS) switch communicatively coupled to the auto brake valve, and a runway overrun awareness and alerting system (ROAAS) communicatively coupled to the auto brake valve. The ABS switch may be configured to have a manual ABS switch setting to control the auto brake valve. The ROAAS may include at least one processor configured to: obtain ROAAS output data, the ROAAS output data including at least one of selected runway, runway distance remaining, runway stopping point, or runway condition; obtain a trained artificial intelligence (AI) and/or machine learning (ML) model; based at least on the ROAAS output data and the trained AI and/or ML model, infer an ABS brake setting; and set the auto brake valve in accordance with the ABS brake setting.