Turning Control Device with End-Abutting Angle Validation
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Solution Overview
Problem
Existing systems face issues with incorrect learning of rack end positions due to rack shaft replacement, leading to potential mounting errors and risks of inappropriate relearning, especially during rapid turning-back steering or tire collisions.
Innovation Solution
A turning control device with a relearning determination unit that includes an end-abutting detection unit to identify end-abutting and acquire the steering angle, an end-abutting steering angle range determination unit to assess variation, and a relearning unit to reset the learned terminal position to an initial value when variation is within a threshold, preventing incorrect learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If virtual rack end positions are relearned after rack shaft replacement, then the system adapts to the new rack shaft, but incorrect learning may occur due to rapid turning-back steering or tire collision
Solution Approach 1:
The system performs preliminary validation checks before completing terminal position learning. It detects end-abutting events and validates that learned positions represent true rack ends by checking for proper end-abutting conditions, preventing incorrect learning from rapid turning-back steering or tire collisions
Solution Approach 2:
The system uses feedback from end-abutting detection to validate learned terminal positions. By monitoring steering angles during end-abutting events and comparing them against learned values, the system can identify and correct incorrect learning, ensuring reliable adaptation after rack shaft replacement
2Object-affected harmful factors
If end-abutting prevention control is implemented, then impact and abnormal noise are reduced, but the system complexity increases
Solution Approach 1:
The system replaces complex mechanical end-abutting prevention mechanisms with a control-based approach using steering angle sensors and electronic control units. This substitution reduces mechanical complexity while achieving the same impact and noise reduction effects through software control logic
Solution Approach 2:
The system changes control parameters dynamically based on detected conditions. By adjusting steering angle limits and control forces according to vehicle speed, steering state, and end-abutting detection results, the system achieves effective impact prevention without requiring complex mechanical structures
Data Source
AI summary
A turning control device includes: a terminal position learning unit configured to learn a terminal position of the turning mechanism, based on a steered position of a turning mechanism detected by the position detection unit; and a relearning determination unit configured to determine necessity of relearning of the terminal position. The relearning determination unit includes: an end-abutting detection unit configured to detect occurrence of end-abutting, and acquire an end-abutting steering angle that is a steering angle when end-abutting is occurred; an end-abutting steering angle range determination unit configured to determine whether or not variation in the end-abutting steering angles acquired multiple times is less than or equal to a predetermined threshold value; and a relearning unit configured to, when the variation is less than or equal to the predetermined threshold value, reset the learned terminal position to an initial value.