UAV Formation Navigation via Corrective Flight Vectors

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Solution Overview

Problem

Conventional UAV navigation systems rely heavily on manual control by operators, lacking automation and requiring specific knowledge of flight parameters, which limits efficiency and accessibility for routine civil use.

Innovation Solution

A system that navigates UAVs in formation by assigning pattern positions, identifying waypoints using GPS data, and applying a navigation algorithm to calculate corrective flight vectors, enabling automated piloting based on the comparison of intended and actual positions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual control by operator is used, then operator can control UAV flight, but operator requires specific knowledge of flight parameters and navigation is inefficient

Engineering Contradiction:
Improveease of operationVSAvoiddevice complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The UAV navigation system performs self-service by automatically calculating flight vectors, determining waypoint positions, and adjusting flight paths without requiring operator intervention. The system uses its own sensors, GPS data, and onboard computer to autonomously navigate, eliminating the need for operators to possess specialized flight knowledge while maintaining efficient navigation.

Inventive Principle:
Principle #25Self-service

2Productivity

If automated navigation algorithm is applied, then navigation efficiency is improved, but system complexity increases

Engineering Contradiction:
Improvenavigation efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The automated navigation system is segmented into distinct functional modules: GPS receiver for position acquisition, computer for data processing, flight vector calculator for path computation, and control system for execution. This modular segmentation enables high navigation efficiency through automated operations while managing system complexity by organizing functions into separate, manageable components that can be independently developed and maintained.

Inventive Principle:
Principle #1Segmentation

3Reliability

If formation flying pattern is assigned to multiple UAVs, then coordinated navigation is achieved, but position accuracy requirements increase

Engineering Contradiction:
Improvecoordinated navigationVSAvoidposition accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The formation flying system implements feedback by continuously monitoring the actual positions of multiple UAVs using GPS receivers and comparing them against their intended positions in the formation pattern. The onboard computers calculate position deviations and generate corrective flight vectors to adjust each UAV's trajectory, ensuring coordinated navigation while compensating for position accuracy variations through real-time feedback control.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS7469183B2Navigating UAVs in formation
Publication Date: 2008.12.23 WILDCAT LICENSING LLC
  • US7469183B2 patent drawing
  • US7469183B2 patent drawing
  • US7469183B2 patent drawing

AI summary

Navigating UAVs in formation, including assigning pattern positions to each of a multiplicity of UAVs flying together in a pattern; identifying a waypoint for each UAV in dependence upon the UAV's pattern position; piloting the UAVs in the pattern toward their waypoints in dependence upon a navigation algorithm, where the navigation algorithm includes repeatedly comparing the UAV's intended position and the UAV's actual position and calculating a corrective flight vector when the distance between the UAV's actual and intended positions exceeds an error threshold. The actual position of the UAV may be taken from a GPS receiver on board the UAV.