Autonomous UAV Flight Control for Emergency Route Switching
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Solution Overview
Problem
Current unmanned aerial systems lack autonomous control capabilities to respond to immediate safety threats, relying solely on automated processes without human intervention, which can lead to unpredictable behavior in failure or emergency situations.
Innovation Solution
A method and system for autonomous controlling of aerial vehicles that measure and evaluate flight data, issuing commands to ensure safety by implementing emergency or crash routes, and allowing human override, incorporating a data sensing unit, evaluation unit, and command unit to manage flight conditions and adapt flight plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated predefined processes are used for flight control, then operational simplicity is maintained, but the system lacks ability to respond to immediate safety threats and exhibits unpredictable behavior in failure situations
Solution Approach 1:
The system pre-defines multiple flight plans including nominal, alternate, emergency, and crash routes before flight operations begin. When a safety threat is detected, the system can immediately switch to a pre-planned route without requiring complex real-time decision algorithms, thus improving reliability while controlling complexity.
Solution Approach 2:
The invention introduces an intermediary evaluation unit that assesses flight conditions and determines whether autonomous control commands should be issued. This intermediary layer between the automated system and human operator enables safe autonomous responses while maintaining human oversight, resolving the contradiction between automation and safety.
2Reliability
If autonomous control commands are issued in danger situations, then safety is enhanced, but human operator workload and system complexity increase
Solution Approach 1:
The autonomous controlling system automatically evaluates flight conditions and issues control commands without requiring human intervention in emergency situations. The system serves itself by having the evaluation unit monitor conditions and the command unit execute appropriate flight plans, reducing operator workload while enhancing safety.
Solution Approach 2:
The system continuously measures flight and system data, evaluates conditions against decision criteria, and provides feedback to determine when autonomous commands should be issued. This closed-loop feedback mechanism ensures safety-critical actions are taken automatically while maintaining transparency for human operators.
3Adaptability or versatility
If human operators make decisions in failure conditions, then flexibility is maintained, but response time is delayed and predictability is reduced
Solution Approach 1:
Multiple flight plans (nominal, alternate, emergency, crash routes) are prepared in advance with specific decision criteria. When predefined conditions are met, the system automatically executes the appropriate pre-planned response, eliminating human decision delays while maintaining adaptability through multiple pre-configured options.
Solution Approach 2:
The system dynamically switches between different levels of autonomy based on flight conditions. In normal conditions, human operators maintain flexibility for decision-making. In danger situations, the system transitions to autonomous control for immediate response, then returns to human control when conditions normalize, optimizing both flexibility and response time.
Data Source
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Figure 3
AI summary
The invention relates to a method for autonomous controlling of an aerial vehicle, wherein a flight operator commands the aerial vehicle, comprising the steps of: measuring (S1) flight and/or system data of the aerial vehicle (50); performing (S2) an evaluation of a flight condition of the aerial vehicle (50) based on the measured data and based on at least one decision criterion; and, issuing (S3) at least one autonomous controlling command, if, as a result of the evaluation of the flight condition, the aerial vehicle (50) is in danger.