UAV Trajectory Optimization for Stable Ground Station Links
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Unmanned aerial vehicles (UAVs) often face reduced or insufficient communication link quality during missions, especially in urban environments with heterogeneous structures, leading to signal degradation and potential loss of connection.
Innovation Solution
A method that optimizes the UAV's trajectory in real-time by simulating communication link quality, adjusting waypoints to maintain a minimum quality factor, using geographic information and dynamic models to account for obstacles and antenna positions, and applying optimization algorithms to ensure continuous signal integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a straight trajectory is planned between start and target positions, then the mission efficiency is improved, but the communication link quality deteriorates in urban environments with heterogeneous structures
Solution Approach 1:
The patent performs preliminary numerical simulations of communication link quality along the planned trajectory before execution. Geographic information is collected and quality factors are calculated in advance to identify sections with insufficient communication quality, allowing the trajectory to be optimized beforehand rather than reacting during flight.
Solution Approach 2:
The patent transforms the static straight-line trajectory into a dynamic optimized trajectory by iteratively adjusting waypoint positions based on simulated communication quality. The trajectory adapts to environmental conditions (buildings, terrain) while maintaining mission efficiency, creating a balance between direct routing and communication reliability.
2Reliability
If the trajectory is adjusted to maintain communication quality, then the communication link reliability is improved, but the mission time increases due to iterative optimization
Solution Approach 1:
The optimization process is performed preliminarily before the actual mission execution. All iterative simulations and trajectory adjustments are completed in advance, so that during flight, the UAV simply follows the pre-optimized trajectory without real-time computation delays.
Solution Approach 2:
The patent uses numerical simulations to create a virtual model of the communication environment and trajectory. This virtual copy allows extensive optimization iterations without affecting actual mission time, as all adjustments are determined in the simulation domain before execution.
3Reliability
If numerical simulations are conducted to optimize trajectory, then the communication link quality is improved, but the computational complexity increases
Solution Approach 1:
The patent uses numerical simulations to create a virtual model of the communication environment and trajectory. This virtual copy allows extensive optimization iterations without affecting actual mission time, as all adjustments are determined in the simulation domain before execution.
Solution Approach 2:
The patent replaces complex real-time communication quality measurement and adjustment mechanisms with numerical simulations based on geographic information and propagation models. Instead of physically measuring and adjusting during flight, the system uses computational models to predict and optimize the trajectory in advance.
Data Source
AI summary
A method for operating an unmanned aerial vehicle, which is flight-controlled by a flight control unit to follow a given trajectory, includes an optimization of the trajectory based on a simulation model of the unmanned aerial vehicle and a communication link to a ground station to form a trajectory along which a certain connection quality to the ground station can be maintained.