Magnetic Sensor Signal Conversion for High Resolution Sensing

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Solution Overview

Problem

Current magnetic sensors face challenges in increasing accuracy without increasing the number of poles or teeth on a target object, which is limited by manufacturing costs and bandwidth requirements, and struggle to achieve higher resolution in speed and position sensing applications.

Innovation Solution

A magnetic sensor system that groups sensor elements to generate phase-shifted measurement signals, applying a signal conversion algorithm to increase the frequency of the signals, allowing for enhanced accuracy without adding poles or teeth, thereby improving speed and position sensing capabilities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the number of poles or teeth on a target object is increased to achieve higher accuracy in speed and position sensing, then measurement precision is improved, but manufacturing costs increase and bandwidth requirements increase

Engineering Contradiction:
Improvespeed sensing accuracyVSAvoidmanufacturing cost
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent changes the parameter of signal frequency through algorithmic processing. By applying a signal conversion algorithm that processes the sinusoidal signals from the magnetic sensor, the system generates output signals with higher frequency (more pulses per revolution) without physically increasing the number of poles or teeth on the target object. This parameter transformation resolves the contradiction by achieving higher measurement precision through signal processing rather than structural modification.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent replaces the mechanical approach of increasing physical poles or teeth with a signal processing approach. Instead of modifying the mechanical structure of the target object to increase pulse generation, the system uses algorithmic processing of magnetic field signals to synthesize higher frequency output signals. This substitution eliminates the need for mechanical changes, thereby reducing manufacturing costs while maintaining improved measurement precision.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If the number of poles or teeth on a target object is increased to achieve higher accuracy in speed and position sensing, then measurement precision is improved, but bandwidth requirements increase

Engineering Contradiction:
Improveposition sensing resolutionVSAvoidbandwidth requirement
Core Design Contradiction:
Measurement precisionVSSpeed

Solution Approach 1:

The patent transforms the bandwidth requirement parameter by generating higher frequency signals through algorithmic processing rather than through high-speed mechanical changes. The signal conversion algorithm processes the base frequency sinusoidal signals to produce output signals with increased frequency content, effectively changing the frequency parameter without requiring the physical system to operate at higher bandwidths. This allows position sensing resolution to be improved while managing bandwidth requirements through mathematical transformation.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If the number of poles or teeth on a target object is increased to achieve higher accuracy, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvesensing accuracyVSAvoidsensor structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical structures (multiple poles or teeth) with a simpler mechanical configuration combined with signal processing. The magnetic sensor itself remains relatively simple in structure, but the signal conversion algorithm adds computational complexity to achieve high measurement precision. This substitution moves the complexity from the mechanical domain to the signal processing domain, thereby simplifying the physical sensor structure while maintaining or improving sensing accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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

The solution effectively increases the frequency of measurement signals, enhancing accuracy and resolution in speed and position sensing applications while maintaining cost-effectiveness and reducing bandwidth requirements.

Implementation Method 1

a magnetic sensor configured to measure a magnetic field whose magnitude oscillates between a first extrema and a second extrema. The magnetic sensor includes a plurality of magnetic field sensor elements, each configured to generate a sensor signal in response to the magnetic field impinging thereon

Methodology Applied
Scientific EffectMagnetic field sensing: Magnetic Field

Data Source

PatentUS11137456B2Frequency increasing sensor protocol in magnetic sensing
Publication Date: 2021.10.05 INFINEON TECHNOLOGIES AG
  • US11137456B2 patent drawing
  • US11137456B2 patent drawing
  • US11137456B2 patent drawing

AI summary

A magnetic sensor is configured to measure a magnetic field whose magnitude oscillates between a first extrema and a second extrema. The magnetic sensor includes a plurality of magnetic field sensor elements, each configured to generate a sensor signal in response to the magnetic field impinging thereon. The plurality of sensor elements are grouped into a first group from which a first measurement signal is derived and a second group from which a second measurement signal is derived, and the first measurement signal and the second measurement signal having a phase difference based on different phases. The magnetic sensor further includes a sensor circuit configured to receive the first measurement signal and the second measurement signal, and apply a signal conversion algorithm thereto to generate a converted measurement signal having an increased frequency with respect to the first measurement signal and the second measurement signal.