VTOL Flight Noise Mitigation Using Sensor-Guided Route And Propulsor Control
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Solution Overview
Problem
Vertical take-off and landing (VTOL) aircraft pose noise challenges in residential areas, limiting their viability for urban transportation due to high noise signatures, which existing technologies have not adequately addressed.
Innovation Solution
A system that utilizes real-time noise data from onboard and offboard sensors, combined with network and predictive data, to adjust aircraft operations such as propeller speed and routing, selecting quieter aircraft and optimizing routes to minimize noise impact on populated areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If VTOL aircraft operate in urban areas to provide transportation services, then transportation accessibility and travel time are improved, but noise pollution in residential areas increases
Solution Approach 1:
The system dynamically adjusts aircraft operations including routing, speed, and propeller settings based on real-time noise data from sensors and environmental conditions. This allows the aircraft to adapt its flight path and operational parameters to minimize noise impact on residential areas while maintaining transportation service availability.
Solution Approach 2:
The system uses real-time noise data from onboard and offboard sensors to monitor noise levels during flight operations. This feedback is processed to determine desired changes in noise signature, which then triggers automated adjustments to aircraft operations through transmitted instructions, creating a closed-loop control system for noise mitigation.
2Speed
If aircraft speed is increased to improve transportation efficiency, then travel time is reduced, but noise signature increases
Solution Approach 1:
The system dynamically adjusts aircraft speed based on real-time noise data and environmental conditions. When flying over noise-sensitive areas, the system reduces speed to minimize noise impact, while allowing higher speeds in areas where noise is less concerning, thus balancing transportation efficiency with noise mitigation.
Data Source
AI summary
Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.