Dynamic Sensor Signal Linearisation in Magnetic Strip Length Measurement
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Solution Overview
Problem
Magnetic strip length measuring systems face nonlinearities due to tolerances, environmental conditions, and sensor electronics, requiring costly calibration and multiple sensors, which are impractical for systems with varying pole widths and large gaps.
Innovation Solution
A dynamic compensation method that uses a minimal number of sensors to adaptively correct linearity deviations in real-time during operation, allowing for the use of a single sensor type across different pole widths and eliminating the need for extensive calibration, by interpolating sensor signals and adjusting for phase shifts and harmonic waves based on movement speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors with phase shifts are used to ensure measurement signal clarity, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses the sensor head's own movement characteristics (speed, acceleration) to generate correction signals that compensate for signal distortions. The sensor head serves both its primary measurement function and the additional function of self-calibration through its motion-induced magnetic field variations, eliminating the need for separate calibration sensors.
Solution Approach 2:
The system continuously monitors the sensor head's movement parameters (speed, acceleration) and uses this feedback to dynamically adjust correction signals. The evaluation unit processes the raw sensor signal in conjunction with movement data to generate real-time corrections, creating a closed-loop system that adapts to changing measurement conditions.
2Manufacturing precision
If static correction tables are used to compensate linearity deviations, then manufacturing precision is improved, but adaptability deteriorates
Solution Approach 1:
The system replaces static correction tables with dynamic correction signals that are continuously updated based on real-time movement parameters. The correction signals are generated on-the-fly using the sensor head's speed and acceleration data, allowing the system to adapt to varying pole widths and gaps without requiring multiple pre-calibrated systems.
Solution Approach 2:
The system changes the parameters of the correction signal based on the sensor head's movement characteristics. By adjusting correction values dynamically according to speed and acceleration profiles, the system can compensate for linearity deviations across different operating conditions without physical reconfiguration.
3Measurement precision
If extensive calibration procedures are performed during production, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs calibration automatically during normal operation using the sensor head's own movement to generate correction signals. This self-calibration eliminates the need for separate manual calibration procedures, reducing production time while maintaining precision through continuous adaptive correction.
Solution Approach 2:
The system performs calibration actions continuously in the background during normal measurement operations. By conducting calibration activities concurrently with regular measurement tasks rather than sequentially, the system eliminates calibration time losses without compromising measurement throughput.
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
Enables precise length measurement with reduced linearity deviations and cost-effectiveness, suitable for linear drives and other applications, by dynamically adapting to movement speed and consistency, and allowing the use of a stator magnetic field for distance measurement.
Implementation Method 1
a sensor head is moved via a measurement body which is magnetised with alternating polarity. Due to the movement, in the ideal case, a sinusoidal sensor signal is generated in the sensor head or magnetic field sensor.
Implementation Method 2
a measurement body which is magnetised with alternating polarity
Data Source
AI summary
A method for linearizing sensor signals in a magnetic strip length measuring system moves a sensor head between two magnetic poles of a measurement body. In particular, linearization takes place dynamically during operation of the magnetic strip length measuring system, and linearization deviations are compensated by extrapolation as the sensor head moves between the two poles of the measurement body from pole to pole or from pole pair to pole pair.