Sensor Calibration Surface Mapping for Torque Accuracy
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Solution Overview
Problem
Existing methods for calibrating sensors that vary with temperature require extensive calibration across the entire temperature range, leading to high costs and inefficiencies, especially when individual sensors have significant variations in characteristics, making it impractical to use a single set of generic calibration parameters.
Innovation Solution
A method that reduces the number of temperature calibration points to one or two by creating a generic calibration surface from a large number of sensors, then uses individual calibration measurements to map and fit the generic curves to each individual sensor, allowing for accurate and efficient calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual sensors are calibrated across the entire temperature range, then measurement precision is improved, but loss of time and manufacturing cost increase significantly
Solution Approach 1:
A generic calibration surface is pre-computed from a large number of sensors calibrated at multiple temperature points. This preliminary calibration model captures the typical temperature-dependent behavior of the sensor type, allowing individual sensors to be quickly adjusted without repeating the full temperature range calibration.
Solution Approach 2:
The calibration approach changes from fixed temperature-point calibration to a continuous temperature-dependent calibration surface. By modeling calibration parameters as functions of temperature, the system adapts to varying operating conditions without requiring recalibration at each temperature point.
2Measurement precision
If individual sensors are calibrated across the entire temperature range, then measurement precision is improved, but manufacturing cost increases
Solution Approach 1:
The generic calibration surface is computed once from a representative sample of sensors, capturing the typical temperature behavior. This preliminary model is then reused for all individual sensors, eliminating the need for expensive full-range calibration of every sensor while maintaining accuracy through individual fitting at one or two temperature points.
Solution Approach 2:
Instead of creating unique calibration data for each sensor across the full temperature range, the system creates a copy of the generic calibration surface for each individual sensor and adjusts it using minimal individual measurement data. This copying approach dramatically reduces calibration costs while preserving individual sensor characteristics.
3Productivity
If generic calibration parameters are used for all sensors, then manufacturing efficiency is improved, but measurement precision deteriorates due to sensor variations
Solution Approach 1:
The calibration surface includes temperature-dependent parameters that capture local variations in sensor behavior across the temperature range. Each individual sensor's calibration is locally adjusted using measurements at one or two temperature points, accounting for manufacturing variations while maintaining overall efficiency.
Solution Approach 2:
The calibration model transitions from static generic parameters to a dynamic temperature-dependent calibration surface. The calibration parameters adapt to temperature changes, allowing the system to account for both generic sensor behavior and individual variations without sacrificing productivity.
Data Source
AI summary
A method of calibrating an individual sensor of a particular sensor type whose output varies non-linearly with at least one measured quantity and at least one operating condition. The first step includes producing a set of calibration curves for each sample sensor of the particular sensor type. The resulting sets of calibration curves are then averaged and the results used to produce a generic calibration surface for the particular sensor type showing its variation. Individual calibration measurements are then taken for a number of different values of the measured quantity at a small number of discrete values. The individual calibration readings are then used to map the generic calibration surface to the individual calibration measurements of the individual sensor.