Steering Motor Current Monitoring for Autonomous Driving Fault Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing autonomous driving systems fail to safely detect mechanical abnormalities in steering motors, leading to potential accidents due to the steering motor not following the target steering angle.
Innovation Solution
A system that learns the current value of the steering motor under specific conditions, compares it with stored data, and generates a warning signal when deviations exceed predetermined ranges, thereby detecting abnormalities and preventing accidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous driving control is implemented without steering motor abnormality detection, then automation level is improved, but safety and reliability deteriorate due to undetected mechanical abnormalities
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring the current value of the steering motor and comparing it with pre-stored learning data. When the current value deviates from the learned range, the system generates an abnormality notification, creating a closed-loop feedback system that enhances safety while maintaining autonomous operation.
Solution Approach 2:
The system performs preliminary learning of the steering motor's current values under various normal operating conditions (different speeds, steering angles, steering speeds) and stores this data before actual autonomous driving. This preliminary action establishes a baseline for detecting abnormalities during autonomous operation.
2Reliability
If steering motor current monitoring is added to autonomous driving system, then reliability is improved, but device complexity increases
Solution Approach 1:
The control unit performs multiple functions: it controls the steering motor, monitors its current value, compares the current with learning data, and generates abnormality notifications. By making the control unit multi-functional, the patent avoids adding separate dedicated components for each function, thereby limiting the increase in device complexity.
Solution Approach 2:
The patent combines the learning data storage, real-time current monitoring, comparison logic, and abnormality notification generation into a single integrated control unit. This merging of functions into one component reduces the overall system complexity compared to having separate dedicated components for each function.
3Measurement precision
If learning data is collected under multiple conditions (speed, steering angle, steering speed), then measurement precision is improved, but loss of time increases due to extended learning period
Solution Approach 1:
The system collects learning data under various operating conditions (different speeds, steering angles, steering speeds) in advance during a preliminary learning phase. This preliminary action ensures that comprehensive reference data is available before autonomous driving begins, allowing for accurate real-time comparison without delaying actual operation.
Solution Approach 2:
The learning system varies multiple operating parameters (vehicle speed, steering angle, steering speed) to collect comprehensive learning data. By systematically changing these parameters during the learning phase, the system builds a robust reference database that enables accurate abnormality detection across diverse operating conditions.
Data Source
AI summary
An apparatus for controlling a vehicle may include a steering motor configured to generate a steering force based on steering-related information of a vehicle received from an autonomous driving module of the vehicle in an autonomous driving mode, a controller configured to learn a current value of the steering motor under one or more set learning conditions, and a storage configured to store the current value of the steering motor learned by the controller under the set learning conditions as learned data. The controller may generate a warning signal when a change in the current value of the steering motor measured upon steering is out of a predetermined range compared to, or set based on, the learned data stored in the storage.