UAV Swarm Ground Control With Dynamic Flight Path Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional unmanned aerial vehicle swarm systems lack direct control over individual vehicles, leading to potential mission failures due to varying vehicle statuses and inability to dynamically adjust flight paths, causing collisions and battery-related issues.
Innovation Solution
An autonomous ground control system that generates fleet configuration instructions and safety information for each vehicle, ensuring only capable vehicles receive commands and adjusting paths to avoid collisions, using a communications module to transmit updated configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual control is used for each unmanned aerial vehicle, then direct control over individual vehicles is achieved, but cognitive overload occurs when controlling multiple vehicles simultaneously
Solution Approach 1:
The control system segments the fleet into multiple zones, with each operator responsible for controlling vehicles within a specific zone. This divides the complex task of controlling all vehicles into manageable portions, allowing direct control capability while preventing cognitive overload by limiting each operator's responsibility to a specific spatial region.
2Extent of automation
If preprogrammed flight profiles are used for swarm control, then automated operation is achieved, but dynamic adjustment capability is lost leading to mission failures
Solution Approach 1:
The system implements dynamic flight paths that can be adjusted in real-time based on vehicle status and environmental conditions. Instead of rigid preprogrammed profiles, the flight paths are generated and updated dynamically, allowing the swarm to adapt to changing conditions while maintaining automated control. The system continuously monitors vehicle status and recalculates paths to avoid collisions and account for battery limitations.
3Adaptability or versatility
If multiple operators control the swarm from different locations, then operational flexibility is improved, but collision risk increases due to conflicting commands
Solution Approach 1:
The system introduces an intermediary coordination layer that manages commands from multiple operators. This intermediary processes flight commands, checks for conflicts, and coordinates between operators to ensure safe operation. The intermediary prevents conflicting commands from causing collisions while maintaining the flexibility of having multiple operators control the swarm from different locations.
4Stability of the object's composition
If all vehicles execute the same flight commands, then swarm coordination is maintained, but individual vehicle capabilities and limitations are not accounted for
Solution Approach 1:
The system assigns different flight paths and commands to individual vehicles based on their specific capabilities and limitations. Each vehicle receives customized instructions that account for its battery status, performance characteristics, and operational readiness. This local differentiation maintains swarm coordination through centralized management while ensuring each vehicle can safely execute its assigned tasks.
Data Source
AI summary
A system and method for autonomously controlling a set of unmanned aerial vehicles is provided. The autonomous ground control system may include a communications module and a fleet configuration module in communication with one or more user interface applications. The autonomous ground control system may receive one or more flight commands and generate fleet configuration instructions and safety information. The autonomous ground control system may provide the fleet configuration instructions to each unmanned aerial vehicle in the set in order to carry out the fleet configuration instructions in real time.