UAV Docking Geometry for Self-Aligning Cargo Pod Latching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing unmanned aerial vehicles (UAVs) require human intervention for payload alignment and securing, are limited by battery capacity, and lack standardization, leading to inefficiencies and security risks in delivery systems.
Innovation Solution
An autonomous docking system for UAVs featuring pyramidal surfaces and latching mechanisms that enable self-alignment and secure locking of cargo pods, allowing for field refueling and standardized docking across non-standardized vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If human intervention is used to align and secure payloads to UAVs, then alignment accuracy is improved, but operational efficiency and productivity deteriorate due to manual intervention requirements
Solution Approach 1:
The system enables autonomous self-alignment through complementary pyramidal surfaces on the UAV and cargo pod. The geometry of these surfaces automatically guides the UAV into proper alignment with the cargo pod during docking, eliminating the need for human intervention while maintaining high alignment accuracy through geometric constraints rather than manual positioning
Solution Approach 2:
The patent replaces manual mechanical alignment operations with an automated geometric docking system. The complementary pyramidal surfaces create a mechanical guidance system that automatically aligns the UAV with the cargo pod through their interlocking geometry, substituting human-operated mechanical positioning with an autonomous geometric constraint system
2Ease of operation
If UAV steering accuracy is limited, then ease of operation is improved, but alignment precision and reliability worsen, requiring human intervention
Solution Approach 1:
The complementary pyramidal surfaces act as an intermediary mechanical guidance system between the UAV's limited steering capability and the docking target. These surfaces provide physical guidance constraints that compensate for steering inaccuracies, guiding the UAV into proper alignment automatically during the docking process without requiring high-precision steering control
Solution Approach 2:
The patent employs asymmetric pyramidal geometry with specific angular relationships (e.g., 45-degree angles) that create directional guidance constraints. This asymmetric design ensures that the UAV is guided along a specific docking path, converting limited steering accuracy into reliable alignment through geometric constraints rather than requiring precise steering control
3Use of energy by moving object
If UAVs park payloads at field locations closer to the warehouse with substantial battery reserve, then energy utilization is improved, but security worsens due to theft risks of unattended UAVs or payloads
Solution Approach 1:
The system enables autonomous secure docking at field locations through the self-aligning pyramidal surfaces and automatic latching mechanism. The UAV can independently dock with the cargo pod and engage the latching system without human intervention, providing secure payload storage at remote field locations while maximizing battery utilization for multiple delivery cycles
Solution Approach 2:
The latching system is designed to automatically engage as the UAV docks with the cargo pod, securing the payload before the UAV departs. This preliminary securing action ensures payload protection at field locations, eliminating theft risks associated with unattended parked UAVs while allowing the UAV to return to the warehouse with maximum battery reserve
4Use of energy by moving object
If single-carrier returns to the warehouse are used, then battery reserve is maximized for the return flight, but productivity deteriorates due to underutilization of battery capacity and need for larger UAV fleets
Solution Approach 1:
The standardized complementary pyramidal docking surfaces enable any UAV in the fleet to dock with any cargo pod of the corresponding type, regardless of the specific UAV model or payload carried. This universality allows UAVs to return to the warehouse with maximum battery reserve while maintaining high fleet efficiency, as each UAV can independently return with its cargo pod without requiring coordinated multi-UAV operations
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables autonomous payload delivery and refueling without human intervention, maximizing battery use and reducing theft risks while accommodating diverse UAV designs.
Implementation Method 1
The UAV may be configured to dock by steering downward until the base perimeter slidably contacts the pyramidal top surface of the cargo pod for gravity-aligning the UAV in azimuth and laterally
Implementation Method 2
A latching system may be included for locking the UAV to the cargo pod when docked
Data Source
AI summary
There is disclosed an autonomous docking system for aerial delivery of a payload from a ground station. The system may comprise an unmanned aerial vehicle (UAV) having one or more motors for powered flight and a pyramidal bottom surface opening downward to terminate in a base perimeter. A cargo pod may be included to carry the payload and may have a pyramidal top surface complementary to the pyramidal bottom surface of the UAV. The system may further include a latching system for locking the UAV to the cargo pod and one or more steering components for approaching the cargo to within a steering accuracy. The UAV may be configured to dock by steering downward until the base perimeter slidably contacts the pyramidal top surface of the cargo pod for gravity-aligning the UAV in azimuth and laterally. The system may be further defined by a capture radius of the base perimeter being greater than a lateral component of the steering accuracy.