UAV Flight Control Using Beacon Tracking Near Moving Vessels
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Solution Overview
Problem
Existing UAV technologies face challenges in maintaining precise situational awareness and stable flight trajectories relative to moving vessels, especially in dynamic and unpredictable environments such as military operations.
Innovation Solution
The implementation of a flight control system in UAVs that tracks a moving beacon, maintaining a desired position relative to it by matching velocity and performing corrective maneuvers to minimize positional errors, thereby ensuring stable and precise flight operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a UAV pilot manually navigates the drone to maintain position relative to a moving vessel, then the pilot can respond to unpredictable variables, but the pilot workload becomes excessive and precision deteriorates in complex scenarios
Solution Approach 1:
The UAV system performs self-positioning and self-tracking relative to the moving vessel by automatically receiving beacon location data and executing flight path calculations without continuous manual intervention. The flight control system autonomously monitors position drift and performs corrective maneuvers, allowing the system to serve itself in maintaining situational awareness while reducing pilot workload.
Solution Approach 2:
The system continuously receives feedback from the beacon transmitter about the vessel's position and uses this feedback to calculate and adjust the UAV's flight path. The flight control system monitors the difference between actual and desired position in real-time, creating a closed-loop control system that maintains reliability without overwhelming the pilot with manual control demands.
2Measurement precision
If the UAV continuously adjusts its position to track a moving beacon, then positional precision is improved, but energy consumption increases due to frequent maneuvers
Solution Approach 1:
The flight control system applies partial correction actions rather than continuous full-force adjustments. When position drift exceeds the threshold, the system performs corrective maneuvers of sufficient magnitude to return to the desired position, then reduces adjustment intensity. This partial action approach maintains position accuracy while avoiding excessive energy consumption from continuous aggressive maneuvers.
Solution Approach 2:
The system dynamically adjusts its tracking behavior based on real-time conditions. The flight control system modifies flight objectives including velocity and position based on the magnitude of position drift, creating a dynamic response that balances precision requirements with energy efficiency. The system transitions between active correction and passive tracking modes to optimize energy usage.
3Measurement precision
If the UAV prioritizes matching the velocity of the moving beacon, then tracking precision is improved, but the UAV may drift from the desired position in dynamic scenarios
Solution Approach 1:
The flight control system dynamically switches between velocity-matching and position-correction modes based on real-time conditions. When velocity matching is successful and the UAV remains within the desired position threshold, the system continues prioritizing velocity matching for smooth tracking. When position drift exceeds the threshold, the system dynamically shifts priority to position correction, ensuring reliability is maintained while preserving velocity matching benefits during stable tracking.
Solution Approach 2:
The system uses feedback from position threshold monitoring to adjust flight objectives in real-time. The flight control system continuously evaluates whether the UAV is within the desired position relative to the beacon and adjusts the weighting between velocity matching and position correction accordingly. This feedback mechanism ensures that velocity matching improves tracking precision without compromising position maintenance reliability.
Data Source
AI summary
An unmanned aerial vehicle (UAV) comprises a flight control system and an electromechanical system directed by the flight control system. The flight control system is configured to track a position of a beacon that is in motion and monitor a difference between an actual position of the unmanned aerial vehicle and a desired position of the unmanned aerial vehicle relative to the position of the beacon. The flight control system configures one or more flight objectives based on one or more factors comprising whether the difference between the actual position and the desired position exceeds a threshold, wherein the flight objectives comprise a velocity objective and a position objective. The flight control system also commands the electromechanical system based at least on the one or more flight objectives.