Magnetic Field Navigation for UAV Charging Alignment
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Solution Overview
Problem
Current UAV navigation systems, such as GPS and inertial navigation, lack the centimeter-level accuracy required for precise alignment with wireless charging stations, limiting the effective range of UAVs by not allowing them to dock accurately with charging stations.
Innovation Solution
The UAV uses a magnetic field sensor to calculate the magnetic field vector and strength emanating from the charging station, navigating to align with it and initiate charging, and then departs using the same magnetic field information for accurate positioning and route guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS and inertial navigation systems are used for UAV navigation, then the navigation system is simple and inexpensive, but the location accuracy is insufficient (meter-level) to achieve centimeter-level alignment with charging station
Solution Approach 1:
The patent replaces complex mechanical/electronic navigation systems (GPS, inertial navigation) with a magnetic field-based navigation system. The UAV uses a magnetic field sensor to detect the charging station's magnetic field signature and navigates by following the magnetic field gradient, achieving centimeter-level accuracy without heavy navigation equipment.
Solution Approach 2:
The patent introduces a magnetic field as an intermediary for navigation. The charging station generates a magnetic field that serves as a natural beacon, and the UAV uses a magnetic field sensor to detect this field's strength and direction, translating magnetic field variations into navigation guidance information for precise alignment.
2Measurement precision
If more accurate navigation systems such as Differential GPS are used, then location accuracy improves, but the system becomes expensive, heavy, and requires increased calibration
Solution Approach 1:
The patent substitutes heavy Differential GPS equipment with a lightweight magnetic field sensor. The sensor detects the charging station's magnetic field signature, enabling the UAV to achieve centimeter-level positioning accuracy without carrying expensive, heavy navigation hardware or requiring external calibration infrastructure.
Solution Approach 2:
The charging station itself serves as the navigation beacon by generating a magnetic field with a unique spatial signature. The UAV autonomously detects this field and navigates to the charging station without requiring external calibration systems or additional infrastructure, making the system self-sufficient and lightweight.
3Manufacturing precision
If the UAV uses standard navigation systems, then the system complexity remains low, but the alignment accuracy with charging station is insufficient for effective wireless charging
Solution Approach 1:
The patent replaces standard navigation systems with a magnetic field-based alignment system. The UAV detects the charging station's magnetic field gradient and adjusts its position to follow the field lines, achieving the centimeter-level alignment accuracy required for wireless charging without complex navigation equipment.
Solution Approach 2:
The magnetic field sensor provides continuous feedback about the UAV's position relative to the charging station by detecting variations in magnetic field strength and direction. The navigation system uses this feedback to adjust the UAV's position in real-time, achieving precise alignment through iterative correction rather than complex pre-programmed navigation.
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
This method enables UAVs to accurately position themselves over the charging station for efficient wireless charging and navigate away with high precision, extending their operational range without the need for expensive, heavy navigation systems.
Implementation Method 1
calculating a magnetic field vector and strength of a magnetic field emanating from a charging station
Data Source
Figure 1
Figure 2A~2B
Figure 3A~3C
AI summary
Embodiments include devices and methods for navigating an unmanned autonomous vehicle (UAV) based on a measured magnetic field vector and strength of a magnetic field emanated from a charging station. A processor of the UAV may navigate to the charging station using the magnetic field vector and strength. The processor may determine whether the UAV is substantially aligned with the charging station, and the processor may maneuver the UAV to approach the charging station using the magnetic field vector and strength in response to determining that the UAV is substantially aligned with the charging station. Maneuvering the UAV to approach the charging station using the magnetic field vector and strength may involve descending to a center of the charging station. The UAV may follow a specified route to and/or away from the charging station using the magnetic field vector and strength.