Rotation Angle Sensor Abnormality Detection via Hall Phase Signals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing rotation angle detecting devices for rotating objects require additional motor-rotation-angle sensors to detect abnormalities, which can lead to increased complexity and potential failures in internal combustion engines.
Innovation Solution
A rotation angle detecting device that utilizes magnetic field generating means and sensing means with hall elements disposed at 90 degrees to each other, allowing for abnormality detection through phase-different output signals without the need for additional sensors, using judgment levels calculated from these signals to determine normal or abnormal conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a motor-rotation-angle sensor is added to detect abnormalities, then the abnormality detection capability is improved, but the device complexity increases
Solution Approach 1:
The existing dual magnetic sensors serve dual purposes: both rotation angle detection and abnormality detection. The system uses its own output signals (V1, V2) to detect abnormalities through judgment level calculation, eliminating the need for separate abnormality detection sensors. This self-service approach resolves the contradiction by making the existing components perform multiple functions.
Solution Approach 2:
The magnetic sensors and their output signals are designed to perform multiple functions simultaneously. The same sensors that detect rotation angle also provide signals for abnormality detection through the judgment level calculation. This multi-functionality resolves the contradiction by reducing the total number of sensors needed while maintaining both detection capabilities.
2Reliability
If additional sensors are installed for abnormality detection, then the detection accuracy is improved, but the potential failure points increase
Solution Approach 1:
The system detects abnormalities using its own existing sensors and signals rather than relying on additional independent sensors. By calculating judgment levels from the output signals V1 and V2 of the existing magnetic sensors, the system achieves abnormality detection without introducing more potential failure points, thus resolving the contradiction between detection accuracy and failure risk.
3Device complexity
If judgment level calculation is performed from output signals, then the abnormality detection is achieved without additional sensors, but the calculation complexity increases
Solution Approach 1:
The patent replaces physical sensor additions with signal processing and mathematical calculations. Instead of adding more physical sensors, the system uses judgment level calculations from existing output signals V1 and V2 to detect abnormalities. This substitution of mechanical/physical means with computational methods resolves the contradiction by reducing sensor quantity while managing calculation complexity through systematic approaches.
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 effective abnormality detection based on output signals from hall elements, reducing the need for additional sensors and enhancing reliability by calculating judgment levels that indicate normal or abnormal conditions, thus preventing engine failures.
Implementation Method 1
magnetic field generating means for providing magnetic field
Implementation Method 2
sensing means for providing output signals that are 90 degrees in phase different from each other
Data Source
AI summary
A rotation angle detecting device includes magnetic field forming members such as a permanent magnet and a yoke, a plurality of magnetic sensors disposed in the magnetic field to rotate relative to the magnetic field forming members to provide output signals that are 90 degrees in phase different from each other, a judgment level calculating circuit that provides a judgment level based on the output signals and judging circuit that judges the output signals normal if the judgment level is within a prescribed range and not normal if the judgment level is out of the prescribed range.