Power Steering Abnormality Detection via Motor Rotation Analysis
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Solution Overview
Problem
Conventional power steering apparatuses require a raindrop sensor to detect abnormalities, which increases costs and complexity.
Innovation Solution
The power steering apparatus detects abnormalities based on periodic changes in the number of rotations of an electric motor, steering speed, or steering torque, using existing sensors without the need for an additional abnormality detection sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a raindrop sensor is used to detect abnormalities in the power steering apparatus, then the abnormality detection capability is improved, but the device complexity and cost increase
Solution Approach 1:
The patent applies multi-functionality by enabling existing sensors (rotation sensor, torque sensor, speed sensor) to serve dual purposes: their original functions plus abnormality detection. The control unit analyzes periodic changes in rotation number, steering speed, or steering torque to detect rust or other abnormalities, eliminating the need for a dedicated raindrop sensor while maintaining abnormality detection capability
Solution Approach 2:
The system uses self-service by having the control unit independently analyze data from existing sensors to detect abnormalities. The control unit processes rotation numbers, steering speeds, and steering torques to identify periodic changes indicating rust, allowing the system to self-diagnose without external specialized sensors
2Reliability
If a raindrop sensor is used to detect abnormalities in the power steering apparatus, then the abnormality detection capability is improved, but the manufacturing cost increases
Solution Approach 1:
The patent applies multi-functionality by enabling existing sensors (rotation sensor, torque sensor, speed sensor) to serve dual purposes: their original functions plus abnormality detection. The control unit analyzes periodic changes in rotation number, steering speed, or steering torque to detect rust or other abnormalities, eliminating the need for a dedicated raindrop sensor while maintaining abnormality detection capability
Solution Approach 2:
The system discards the need for additional specialized sensors (raindrop sensor) and recovers/repurposes existing sensors (rotation, torque, speed sensors) for abnormality detection, thereby reducing component count and manufacturing costs while maintaining detection functionality
3Measurement precision
If additional sensors are added to detect abnormalities, then the detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent applies feedback by continuously monitoring rotation numbers, steering speeds, and steering torques and analyzing periodic changes in these parameters. The control unit processes this feedback data to detect rust or other abnormalities, achieving accurate detection through data analysis rather than additional sensors
Solution Approach 2:
The system replaces the mechanical sensor-based detection approach with a signal processing and data analysis approach. Instead of using physical sensors to detect rust directly, the control unit analyzes periodic changes in electrical signals from existing sensors, substituting mechanical detection with electronic signal processing
Data Source
AI summary
A power steering apparatus and a control circuit for a power steering apparatus are provided. The power steering apparatus detects an abnormality in the power steering apparatus based on whether there is a periodic change within a predetermined frequency range with respect to the number of rotations of an electric motor, a steering velocity, or a steering torque.


