VTOL Noise Signature Proximity Warning System

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Solution Overview

Problem

Aerial vehicles face challenges in noise reduction, which is crucial for community acceptance in the urban air mobility market, as existing systems are inadequate in effectively mitigating noise levels, especially in vertical takeoff and landing (VTOL) vehicles.

Innovation Solution

A Noise Signature Proximity Warning System (NPWS) is introduced, which uses algorithm-based techniques to dynamically adjust motor RPM and pitch in VTOL vehicles, incorporating environmental and geographical data to minimize noise emissions while ensuring safe operation, employing AI/ML for adaptive noise reduction strategies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If existing noise reduction systems are used in VTOL vehicles, then some noise mitigation is achieved, but noise levels remain inadequate for community acceptance

Engineering Contradiction:
Improvenoise levelsVSAvoidsystem complexity
Core Design Contradiction:
Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The system dynamically adjusts motor RPM and pitch in real-time based on proximity to noise-sensitive areas, transitioning from static noise reduction to adaptive dynamic control. The controller continuously modifies motor parameters according to GPS location and predefined noise threshold data, enabling the vehicle to optimize noise emissions dynamically during flight operations.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The NPWS implements a feedback mechanism where the controller receives real-time location data, compares it with stored noise threshold geographical data, and automatically adjusts motor parameters accordingly. This closed-loop feedback system continuously monitors proximity to noise-sensitive areas and modifies motor performance to maintain compliance with noise thresholds.

Inventive Principle:
Principle #23Feedback

2Object-affected harmful factors

If motor RPM and pitch are dynamically adjusted to reduce noise, then noise emissions decrease, but vehicle performance and safety may be compromised

Engineering Contradiction:
Improvenoise emissionsVSAvoidvehicle safety
Core Design Contradiction:
Object-affected harmful factorsVSReliability

Solution Approach 1:

The system applies noise reduction measures selectively and partially - only adjusting motor parameters when and where needed based on proximity to noise-sensitive areas. The controller evaluates multiple data sources including vehicle state, motor parameters, and environmental conditions to determine the appropriate level of noise mitigation, applying adjustments only to the extent necessary to maintain noise threshold compliance without compromising safety.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system changes motor operating parameters (RPM and pitch) dynamically based on geographical location and noise threshold requirements. The controller modifies these parameters within safe operational limits, using predefined safety envelopes and real-time vehicle state monitoring to ensure that noise reduction adjustments do not push the vehicle beyond its safe operating boundaries.

Inventive Principle:
Principle #35Parameter changes

3Object-affected harmful factors

If AI/ML algorithms are used for adaptive noise reduction, then noise mitigation effectiveness improves, but computational requirements and processing time increase

Engineering Contradiction:
Improvenoise mitigation effectivenessVSAvoidprocessing time
Core Design Contradiction:
Object-affected harmful factorsVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-loading noise threshold data for geographical areas into the controller before flight operations. This allows the controller to quickly compare real-time location data against pre-stored threshold information without requiring complex real-time calculations, significantly reducing processing time while maintaining effective noise mitigation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses simplified models and lookup tables that replicate the essential characteristics of complex AI/ML noise prediction algorithms. Instead of running full computational AI models in real-time, the controller uses pre-computed noise threshold data and simplified comparison logic that achieves similar noise mitigation effectiveness with minimal processing time and computational resources.

Inventive Principle:
Principle #26Copying

Data Source

PatentEP3954607B1Noise signature proximity warning system and feedback mechanism for aircraft
Publication Date: 2025.01.08 HONEYWELL INTERNATIONAL INC
  • EP3954607B1 patent drawingFigure 1
  • EP3954607B1 patent drawingFigure 2
  • EP3954607B1 patent drawingFigure 3

AI summary

A noise reduction system in a vertical takeoff and landing (VTOL) vehicle is provided. The noise reduction system is configured to: identify a noise level at which the VTOL vehicle can operate; dynamically determine a motor-specific fan RPM and a motor-specific fan pitch that will allow the vehicle to not exceed the noise level based on vehicle noise characteristics and an ambient noise level; determine whether the determined motor-specific fan RPM and motor-specific fan pitch will allow the vehicle to operate within its safety envelope; and cause a motor-specific fan RPM command and a motor-specific fan pitch command to be sent to the lifter motor controller to cause the vehicle lifter motors to operate at the determined motor-specific fan RPM and motor-specific fan pitch when it is determined that the determined motor-specific fan RPM and motor-specific fan pitch will allow the VTOL vehicle to operate within its safety envelope.