Vehicle Control Module Switching for Safe Autonomous Operation
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Solution Overview
Problem
Existing semi and fully autonomous vehicle control systems face challenges in ensuring safe operation without relying on complex and computationally inefficient redundant controllers, as the secondary controller may not always provide correct control signals, necessitating additional supervising functionality.
Innovation Solution
A control system with a first and second control module, each operating within specific operational ranges, and a monitoring module that selects the appropriate module based on vehicle operation within these ranges, ensuring redundancy without complex nested implementations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If redundant controllers are implemented to ensure safe operation, then reliability is improved, but device complexity increases and computational efficiency decreases
Solution Approach 1:
The control system is segmented into multiple control modules, each responsible for specific operational ranges. The monitoring module separately monitors operational parameters and independently selects appropriate control modules. This segmentation eliminates the need for complex nested supervisory functionality while maintaining reliability through modular redundancy.
Solution Approach 2:
A monitoring module acts as an intermediary between control modules and the vehicle operation. It receives operational parameters, determines whether they fall within predefined ranges, and selects appropriate control modules based on this determination. This intermediary approach simplifies the overall system architecture compared to direct complex supervisory control.
2Reliability
If supervising functionality is added to verify controller correctness, then reliability is improved, but device complexity increases
Solution Approach 1:
The monitoring module continuously receives operational parameters from the vehicle and compares them against predefined ranges. Based on this feedback, it dynamically selects appropriate control modules. This feedback mechanism ensures controller correctness without requiring complex supervisory verification functionality.
Solution Approach 2:
Each control module is designed to autonomously handle control within its specific operational range. The monitoring module enables self-service by automatically selecting the appropriate module based on current operational parameters, eliminating the need for complex inter-module verification and supervising functionality.
3Device complexity
If modular control modules are used instead of nested implementation, then device complexity is reduced, but measurement precision of control selection may worsen
Solution Approach 1:
Each control module is specialized for specific operational ranges, with dedicated monitoring for those ranges. This local quality approach ensures high precision in determining which module should be active, as each module's operational parameters are optimized for its specific range rather than using a generic nested structure.
Data Source
AI summary
The present disclosure relates to a control system for selectively controlling a vehicle, ensuring high integrity of decisions taken by the control system when controlling the vehicle. The present disclosure also relates to a corresponding computer implemented method and to a computer program product.