Rotation Angle Sensor Self-Linearization Without Reference Calibration
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Solution Overview
Problem
Existing sensor devices for measuring rotation angles often suffer from nonlinearities and errors due to factors like sensor inaccuracy, temperature drift, and magnetic field variations, requiring initial calibration with known actual angles for linearization, which is not feasible in all scenarios.
Innovation Solution
A self-linearizing method that differentiates rotation angle measurements to determine speed signals, extracts harmonics, and integrates these to calculate angle errors, allowing continuous linearization without needing known actual angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If initial calibration with known actual angles is used for linearization, then measurement accuracy is improved, but applicability is worsened because calibration is not feasible in all scenarios
Solution Approach 1:
The sensor device performs self-linearization by using its own output signals to identify nonlinearities and generate correction data. The system differentiates its own angle measurements to obtain speed signals, extracts harmonics, and integrates them to create linearization corrections without requiring external calibration equipment or known actual angles.
Solution Approach 2:
The system continuously monitors its own performance by comparing differentiated speed signals with integrated angle corrections. The feedback loop uses the sensor's own output to identify errors and generate correction data, which is then applied to linearize future measurements, creating a self-correcting system.
2Measurement precision
If traditional linearization methods are used, then measurement accuracy is improved, but device complexity is worsened due to calibration requirements
Solution Approach 1:
The sensor device autonomously performs linearization by processing its own output signals. The system differentiates angle measurements to get speed signals, extracts harmonic components, and integrates them to generate correction data, eliminating the need for external calibration equipment or complex calibration procedures.
Solution Approach 2:
The patent replaces mechanical calibration procedures with signal processing techniques. Instead of physically calibrating the sensor with known angles, the system uses mathematical operations (differentiation, harmonic extraction, integration) on the sensor's own signals to achieve linearization.
3Measurement precision
If continuous linearization is implemented, then measurement accuracy is maintained over time, but processing requirements increase
Solution Approach 1:
The system continuously performs linearization by constantly differentiating angle measurements, extracting harmonics, and integrating corrections. This continuous process ensures that measurement accuracy is maintained over time as the sensor adapts to drift and nonlinearities, though it does require ongoing computational resources.
Data Source
AI summary
Disclosed are systems, methods, and techniques for linearizing sensor device rotation angle measurements. In particular, described are systems, methods, and techniques for linearizing sensor device rotation angle measurements without knowledge of actual rotation angles of a target. That is, using systems, methods, and techniques disclosed herein, a sensor device may self-linearize rotation angle measurements of a target. In some embodiments, a linearization process may be applied continuously or periodically over time so as to address changes in the nonlinearities of a rotation angle measurement system.