Remote Electric Aircraft Piloting With Autonomous Flight Control
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Solution Overview
Problem
Current electric aircraft systems lack efficient remote piloting capabilities, which can increase pilot and passenger risk, and do not optimize for wide environmental ranges.
Innovation Solution
A system and method for remote piloting of electric aircraft, where a remote device outside the aircraft receives flight command inputs and transmits them to a flight controller inside the aircraft, enabling autonomous enactment of these commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the pilot is located inside the aircraft to directly control flight commands, then the control response time is reduced, but the pilot risk increases and aircraft weight increases
Solution Approach 1:
The system separates the pilot (remote device) from the aircraft by dividing the control function into independent components: the remote device receives pilot input and transmits commands, while the flight controller on the aircraft executes them autonomously. This segmentation allows the pilot to be outside the aircraft, improving safety while maintaining control capability through automated signal processing and command execution.
2Weight of moving object
If a remote device is used to control the aircraft from outside, then the aircraft weight is reduced and pilot safety is improved, but the control complexity increases
Solution Approach 1:
The flight controller on the aircraft autonomously processes received flight commands and executes them without requiring continuous manual intervention from the pilot. The system serves itself by automatically interpreting commands, coordinating multiple flight control surfaces, and managing the complexity of flight maneuvers, thereby reducing the burden on the remote pilot while maintaining simple control interfaces.
3Adaptability or versatility
If the flight controller autonomously enacts commands, then the operational flexibility is increased, but the automation complexity increases
Solution Approach 1:
The flight controller dynamically adjusts flight commands based on real-time aircraft conditions and environmental factors. The system can modify command execution in response to changing flight parameters, weather conditions, or aircraft state, providing operational flexibility while managing automation complexity through adaptive control algorithms that respond to dynamic conditions rather than following rigid predetermined sequences.
Data Source
AI summary
A system and method for the remote piloting of an electric aircraft is illustrated. The system comprises a remote device located outside an electric aircraft, wherein the remote device is configured to receive a flight command input from a user and transmit the flight command input to a flight controller located on the aircraft. The flight controller is located inside the aircraft and configured to receive the flight command input from the remote device and enact the flight command autonomously as a function of the flight command input.