Adaptive UAV Mission Parameters for In-Flight Reliability Control
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) often face mission execution challenges due to varying operational conditions and component degradation, which existing systems fail to adapt to effectively, leading to potential mission failures and component wear without adequate monitoring or adjustment.
Innovation Solution
A method that involves receiving pre-calculated mission parameters, collecting UAV operation data during flight, calculating modified mission parameters based on this data, and executing the modified mission to ensure the UAV can complete its tasks safely and efficiently, while also tracking component usage and prompting maintenance as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UAV executes the initial mission with pre-calculated parameters, then the mission can be completed according to the original plan, but the UAV may fail to adapt to varying operational conditions and component degradation, leading to potential mission failures
Solution Approach 1:
The patent implements dynamic adaptation by continuously monitoring UAV operation data during flight and recalculating mission parameters in real-time based on current component performance and environmental conditions. This transforms the static pre-calculated mission plan into a dynamic adaptive system that adjusts to varying operational conditions while maintaining mission reliability.
Solution Approach 2:
The system establishes a feedback loop where UAV operation data is collected during mission execution, compared against performance thresholds, and used to trigger recalculation of mission parameters. This closed-loop feedback mechanism enables the UAV to adapt to component degradation and environmental changes, resolving the contradiction between following the original plan and adapting to new conditions.
2Device complexity
If the UAV operates without real-time monitoring and adjustment, then the system complexity is reduced, but component wear occurs without adequate monitoring or adjustment, leading to potential mission failures
Solution Approach 1:
The UAV performs self-monitoring of its own operation data and automatically recalculates mission parameters based on its current state without requiring external intervention. This self-service capability enables the system to monitor component wear and adapt mission execution autonomously, maintaining reliability without proportionally increasing system complexity.
Solution Approach 2:
The system performs preliminary recalculation of mission parameters before critical failures occur by continuously monitoring operation data and detecting early signs of component degradation. This preliminary action allows the UAV to adjust mission parameters proactively, preventing mission failures before they happen while maintaining manageable system complexity.
3Use of energy by moving object
If the UAV does not adjust mission parameters in real-time, then the computational load is reduced, but the UAV cannot adapt to component degradation, resulting in reduced mission reliability
Solution Approach 1:
The system performs recalculation of mission parameters selectively rather than continuously, triggering recalculation only when operation data indicates significant changes in component performance or environmental conditions. This partial action approach reduces computational energy consumption while maintaining mission reliability by adapting only when necessary.
Data Source
AI summary
A method for adaptive mission execution by an unmanned aerial vehicle includes receiving a set of pre-calculated mission parameters corresponding to an initial UAV mission; collecting UAV operation data during flight of the unmanned aerial vehicle; calculating a set of modified mission parameters from the set of pre-calculated mission parameters and the UAV operation data, the set of modified mission parameters corresponding to a modified UAV mission; and executing the modified UAV mission on the unmanned aerial vehicle.