Sensor Drift Compensation in UAV Measurement Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Sensing devices, such as those used in drones, face inaccuracies due to sensor drift, which is not effectively addressed by existing technologies, leading to unreliable measurements of physical parameters like pressure and temperature.
Innovation Solution
A device and method that incorporate a corrector to evaluate and compensate for sensor drift by combining the measured signal with a correction factor, using a compensator and drift detector to output a corrected signal, thereby minimizing the impact of drift on measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor elements are used for measuring physical parameters, then measurement capability is provided, but sensor drift leads to measurement inaccuracy
Solution Approach 1:
The system continuously monitors the measured signal and compares it against reference values or expected ranges. When drift is detected through evaluation algorithms, the system automatically adjusts correction factors and applies compensation to the measured signal, creating a closed-loop feedback mechanism that maintains measurement accuracy despite sensor drift
Solution Approach 2:
The system dynamically changes correction parameters based on detected drift conditions. By evaluating the measured signal and determining drift effects, the system adjusts correction factors in real-time to compensate for sensor drift, transforming the measurement process from static to adaptive parameter adjustment
2Measurement precision
If a corrector is added to compensate for sensor drift, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The corrector unit serves multiple functions: it evaluates the measured signal for drift, determines drift effects, calculates correction factors, and applies compensation. This multi-functional approach consolidates what could be separate complex subsystems into a single integrated unit, improving measurement precision while limiting the increase in overall device complexity
Data Source
AI summary
A device for sensing a physical parameter includes a sensor element configured for measuring the physical parameter and for outputting a corresponding measured signal, wherein the measured signal is influenceable by a sensor drift of the sensor element. The device includes a corrector for correcting the measured signal output by the sensor element to obtain a corrected signal, wherein the corrector is configured for evaluating the measured signal to determine a drift effect of the sensor drift on the measured signal and for correcting the measured signal so as to at least partially compensate for the drift effect. The device includes a signal output configured for outputting the corrected signal.


