Automated Sense and Avoid System for Electric Aircraft
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Solution Overview
Problem
Current systems for electric aircraft lack an effective automated sense and avoid system to prevent collisions with obstacles, posing a risk to the aircraft and its occupants.
Innovation Solution
An automated sense and avoid system is implemented, utilizing a flight controller connected to sensors that detect obstacles, generate navigation statuses, and initiate flight modifications through an automated process to avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an automated sense and avoid system is implemented, then collision prevention capability is improved, but device complexity increases
Solution Approach 1:
The sense and avoid system is divided into distinct functional modules: sensor array for obstacle detection, flight controller for processing sensor data and determining impact elements, and actuator system for executing flight modifications. This segmentation allows each module to be optimized independently while working together to achieve reliable collision prevention.
Solution Approach 2:
The system performs preliminary detection and analysis of potential collision risks before actual collision occurs. The flight controller continuously monitors sensor inputs, identifies impact elements in advance, and prepares navigation status assessments, enabling proactive flight path modifications to prevent collisions rather than reacting after danger is imminent.
2Reliability
If automated flight modification is initiated, then safety is improved, but loss of time in decision making increases
Solution Approach 1:
The system implements continuous feedback loops where sensor data is constantly fed to the flight controller, which processes the information and generates real-time navigation status assessments. This closed-loop feedback mechanism enables rapid automated decision-making by continuously monitoring the situation and immediately responding to changing conditions without human intervention delays.
Solution Approach 2:
The flight controller autonomously performs the entire decision-making process: receiving sensor inputs, identifying impact elements, assessing navigation status, and initiating flight modifications without requiring pilot input or external assistance. This self-service capability eliminates human reaction time delays and enables instantaneous automated safety responses.
Data Source
AI summary
A system and method for an automated sense and avoid system for an electric aircraft is illustrated. The system comprises a flight controller communicatively connected to an electric aircraft, wherein the flight controller is configured to receive a plurality of flight inputs from a sensor, determine an impact element as a function of the plurality of flight inputs, produce a flight modification as a function of the impact element, and initiate the flight modification as a function of an automated process.