Brake-to-Steer Predictive Control for Steering Failure Backup
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Solution Overview
Problem
Highly automated vehicles face a risk of loss of directional control due to single point failures in steering systems, necessitating a redundant system that allows safe operation until a journey can be safely concluded.
Innovation Solution
Implementing a brake-to-steer model predictive control system that uses vehicle speed and other data to calculate brake pressure commands, enabling the vehicle to maintain lateral control even when a steering system component fails.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a redundant steering controller is implemented, then the reliability of directional control is improved, but the device complexity increases
Solution Approach 1:
The brake system is made multi-functional by enabling it to perform both its traditional stopping function and a lateral control function. The model predictive control system calculates brake pressure commands for lateral control, allowing the brake system to serve as a backup steering mechanism when the primary steering system fails, thus improving reliability without adding dedicated redundant steering hardware
Solution Approach 2:
The patent replaces the mechanical steering system with a brake-based lateral control system. Instead of using mechanical steering components to provide redundancy, the invention uses the brake system with model predictive control algorithms to generate lateral control forces, substituting a different mechanical subsystem to achieve the same functional redundancy
2Duration of action of moving object
If the vehicle operates in reduced functionality mode after steering failure, then the duration of safe operation is extended, but the productivity decreases due to limited lateral control
Solution Approach 1:
The brake pressure commands are dynamically adjusted based on real-time vehicle state data including side slip angle, steering angle, curvature of trajectory, cross track error, and heading. The model predictive control continuously optimizes the brake pressures to maintain accurate lateral control throughout the journey, adapting to changing driving conditions rather than using fixed control parameters
Solution Approach 2:
The system implements closed-loop feedback control by continuously monitoring vehicle state parameters (side slip angle, steering angle, curvature of trajectory, cross track error, heading) and using this feedback to adjust the brake pressure commands. This ensures that the lateral control remains accurate and adaptive throughout the extended operation period, maintaining productivity despite the reduced functionality mode
Data Source
AI summary
Disclosed is a method using a brake-to-steer model predictive control to providing a limited level of lateral control for self-driving or semi-self-driving vehicles, when a component of a vehicle steering system fails or is failing.


