Autonomous Aircraft Vortex Positioning for Drag Reduction
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Solution Overview
Problem
Commercial aircraft face challenges in reducing drag due to safety regulations that prevent them from flying in formation, which could significantly reduce fuel consumption and operational costs, especially in adverse weather conditions or when circling runways for landing.
Innovation Solution
Deploying autonomous aircraft to fly ahead of commercial planes and position themselves in a way that their vortices create an optimal updraft for the following aircraft, using sensors and computational fluid dynamics to determine and maintain the optimal position, thereby reducing drag and fuel consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If aircraft fly in formation to reduce drag, then fuel consumption decreases, but safety regulations prevent this practice
Solution Approach 1:
An autonomous drone acts as an intermediary between the lead aircraft and following aircraft. The drone generates vortices that create updrafts for the following aircraft, enabling drag reduction without requiring the lead aircraft to fly in close formation. This mediator approach allows the system to achieve energy efficiency while maintaining safety separation distances mandated by regulations.
Solution Approach 2:
The formation flight function is segmented into two independent components: the autonomous drone that generates vortices, and the following aircraft that utilizes the updraft. This segmentation allows each component to operate independently within safety regulations while achieving the combined benefit of reduced drag and fuel consumption.
2Loss of energy
If autonomous aircraft position themselves to create optimal vortices, then drag reduction increases, but positioning precision requirements increase
Solution Approach 1:
The system employs feedback mechanisms where sensors on the following aircraft detect vortex strength and updraft conditions in real-time. This data is transmitted to the autonomous drone, which continuously adjusts its position, altitude, and flight path to optimize vortex generation. The feedback loop enables the system to achieve precise positioning dynamically without requiring ultra-precise initial placement.
Solution Approach 2:
Rather than maintaining a static predetermined position, the autonomous drone dynamically adjusts its position, altitude, and flight parameters based on real-time atmospheric conditions, aircraft speed, and vortex detection data. This dynamic approach allows the system to adapt to changing conditions and maintain optimal drag reduction without requiring fixed precision positioning.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach decreases fuel consumption and operational costs by allowing aircraft to fly more efficiently, even in adverse conditions, and enables less sophisticated aircraft to utilize advanced landing aids and visibility-enhancing technologies.
Implementation Method 1
vortices created by the autonomous aircraft interact with the aircraft to reduce drag on the aircraft
Implementation Method 2
their vortices create an optimal updraft for the following aircraft
Data Source
AI summary
An aircraft assistance method for reducing drag on the aircraft. The method includes flying an autonomous aircraft near the aircraft. An optimal position where vortices created by the autonomous aircraft or the aircraft interact with the other aircraft and/or autonomous aircraft to reduce drag and/or increase lift on the aircraft is determined. The autonomous aircraft is positioned in the optimal position. The method may include a landing assistance system with at least one autonomous aircraft configured to provide the aircraft with information regarding a desired position relative to a runway. The at least one autonomous aircraft may be configured to communicate with the aircraft through a processor and/or a display in the aircraft. The autonomous aircraft may be subject to a drone control system for a plurality of drones configured to position the plurality of drones in a formation.