Angle Sensor Harmonic Error Reduction via Signal Phase Alignment
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Solution Overview
Problem
Existing angle sensors face challenges in accurately reducing angular errors due to distortion in detection signals, which are caused by both the rotating magnetic field and the magnetic detection elements, leading to complex signal processing and increased sensor complexity.
Innovation Solution
The angle sensor system incorporates a configuration with multiple detection units arranged in specific positional relationships and phase alignments to generate signals with reduced error components, using simple operations to minimize the impact of error components, thereby simplifying the sensor design and reducing angular errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple detection circuits with multiple magnetic detection elements are used to reduce angular error, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The detection system is divided into multiple detection circuits, each with specific magnetic detection elements arranged at different positions. Each detection circuit processes signals independently to reduce angular error through spatial segmentation of the measurement function.
Solution Approach 2:
Multiple detection circuits are integrated into a unified angle sensor system that combines their output signals through mathematical operations (such as arctangent calculation) to produce a final angle measurement, merging individual measurements into a coordinated system output.
2Measurement precision
If complex signal processing operations are performed to reduce error components, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The detection circuits are pre-configured with specific spatial arrangements and signal processing algorithms that automatically compensate for angular errors. The error reduction is built into the measurement process itself, eliminating the need for post-processing corrections.
Solution Approach 2:
The angle sensor system performs self-correction of angular errors through its inherent multi-circuit architecture and signal combination logic, automatically eliminating error components without requiring external calibration or complex computational corrections.
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
This approach effectively reduces angular errors by generating signals with lower error components, simplifying the sensor configuration and reducing the number of detection units required, while maintaining accurate angle detection.
Implementation Method 1
The magnetic detection element includes, for example, a spin-valve magnetoresistance element including a magnetization pinned layer whose magnetization direction is pinned, a free layer whose magnetization direction varies depending on the direction of the rotating magnetic field
Data Source
AI summary
An angle sensor includes first and second detection units and an angle detection unit. Each of the first and second detection units generates two detection signals. The first and second detection units are arranged in a positional relationship that establishes predetermined phase relationships among the detection signals they generate. The angle detection unit includes first and second computing circuits and an angle computing unit. The first and second computing circuits generate first and second signals in each of which an error component corresponding to a fifth harmonic contained in the detection signals is reduced. The angle computing unit calculates a detected angle value on the basis of the first and second signals. The angle computing unit performs correction processing for reducing an error occurring in the detected angle value due to an error component corresponding to a third harmonic contained in the detection signals.