UAV Motion-Based Calibration Without Magnetometer Interference
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Solution Overview
Problem
Conventional UAV magnetometer calibration is time-consuming and unreliable due to susceptibility to magnetic interference and spinning motors, making it difficult to determine the validity of calibration.
Innovation Solution
A motion-based calibration method that utilizes an inertial measurement unit (IMU) vector and global positioning system (GPS) vector correlation to calibrate the UAV without relying on the magnetometer, using a combination of hardware and software engines to perform sensor fusion and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If magnetometer calibration is performed using conventional methods, then calibration can be completed, but the process is time-consuming and the results are unreliable due to magnetic interference
Solution Approach 1:
The patent extracts the calibration process from dependence on the magnetometer sensor, using only IMU and GPS sensors instead. This removes the vulnerability to magnetic interference while maintaining calibration functionality, thereby improving reliability without increasing time consumption.
Solution Approach 2:
The patent replaces the magnetic field-based calibration approach with a motion-based calibration approach using mechanical motion sensing (IMU) and positional data (GPS). This substitution eliminates magnetic interference issues while providing reliable calibration results.
2Measurement precision
If magnetometer calibration is performed, then navigation accuracy can be maintained, but the calibration is susceptible to magnetic interference from motors and environmental factors
Solution Approach 1:
The patent removes the magnetometer from the calibration process entirely, extracting the navigation accuracy function from dependence on magnetic field measurements. This eliminates susceptibility to magnetic interference from motors and environmental factors while maintaining navigation precision through alternative sensor fusion.
Solution Approach 2:
The patent introduces IMU and GPS sensors as intermediary elements to achieve navigation accuracy without using the magnetometer. These intermediaries provide the necessary positional and orientational data without being affected by magnetic interference.
3Reliability
If traditional magnetometer calibration procedures are used, then calibration can be performed, but it is difficult to determine the validity of the calibration results
Solution Approach 1:
The patent implements a feedback mechanism where the system monitors calibration quality metrics and provides real-time information about calibration validity. This allows operators to immediately assess whether calibration was successful without complex external verification procedures.
Solution Approach 2:
The calibration system performs self-verification by using the collected sensor data to automatically assess calibration quality. The system serves itself by providing built-in validation capabilities that eliminate the need for external verification tools or complex manual assessment procedures.
Data Source
AI summary
A calibration of an unmanned aerial vehicle is performed without the use of a magnetometer. The unmanned aerial vehicle generates a first acceleration vector in a navigation frame of reference and a second acceleration vector in a GPS frame of reference. The unmanned aerial vehicle estimates a heading of the unmanned aerial vehicle based on the first acceleration vector and the second acceleration vector. The unmanned aerial vehicle performs a calibration based on the estimated heading of the unmanned aerial vehicle.