Pressure Sensor Drift Compensation via Temperature-Compensated Calibration
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Solution Overview
Problem
Conventional pressure sensors experience drift over time due to contaminant accumulation, leading to measurement errors and requiring frequent replacement, with drift being unpredictable and difficult to reliably predict at manufacturing.
Innovation Solution
The pressure sensors employ a method to measure and compensate for drift by calculating the drift rate over an interval and using it to predict drift for subsequent intervals, excluding temperature-based errors to ensure accurate compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If pressure sensors are used over time, then they provide continuous pressure measurements, but drift occurs due to contaminant accumulation leading to measurement errors
Solution Approach 1:
The system performs preliminary drift characterization during manufacturing by exposing the sensor to controlled contaminant conditions and measuring the resulting drift. This pre-established drift profile is stored and used to compensate for drift during actual operation, allowing the sensor to maintain accuracy over extended periods without replacement
Solution Approach 2:
The system continuously monitors pressure measurements and compares them against expected values based on the pre-characterized drift profile. Compensation is applied in real-time by adjusting measurements according to the stored drift characteristics, creating a feedback loop that maintains measurement accuracy throughout the sensor's operational life
2Reliability
If drift compensation is not implemented, then the pressure sensor structure remains simple, but measurement errors accumulate over time requiring frequent replacement
Solution Approach 1:
Drift characterization is performed in advance during manufacturing under controlled conditions. The drift profile is captured and stored in memory before the sensor is deployed, eliminating the need for complex real-time drift analysis while maintaining high measurement reliability
Solution Approach 2:
Instead of implementing complex real-time drift modeling, the system creates a simplified copy of the drift behavior through pre-measured drift profiles. These profiles capture the essential drift characteristics and enable accurate compensation through simple lookup and adjustment operations
Data Source
AI summary
Disclosed example pressure sensors include: a temperature sensor; a pressure measurement assembly configured to output a pressure measurement signal; and measurement circuitry configured to: in response to a first calibration trigger, record a first pressure measured via the electrode, a first timestamp, and a first temperature measurement measured via the temperature sensor; in response to a second calibration trigger, record a second pressure measured via the electrode, a second timestamp, and a second temperature measurement via the temperature sensor; and calculate a first sensor drift rate by: determining a temperature-compensated second measured pressure by removing a first thermal shift from the second pressure; and determining the first sensor drift rate as a first curve between the first measured pressure and the temperature-compensated second measured pressure.