Vehicle Trajectory Control Using Error History Feedback
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Solution Overview
Problem
Existing vehicle control systems face difficulties in accurately tracking and correcting deviations from a predetermined path due to the dynamic nature of vehicle trajectories, often relying on camera or radar systems that struggle to identify errors effectively.
Innovation Solution
A trajectory control system that utilizes a controller with a trajectory control architecture to monitor, track, and adapt vehicle performance elements by comparing errors with a stored trajectory history, enabling real-time adjustments through active safety features and advanced driver assistance systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera or radar systems are used to update the path, then the control system can monitor vehicle execution, but the system struggles to identify errors between the vehicle and the path accurately
Solution Approach 1:
The patent implements a feedback mechanism where the current vehicle position is continuously compared with the predetermined path to generate error signals. These error signals are then fed back to the controller to adjust vehicle execution, creating a closed-loop control system that improves measurement precision through continuous error identification and correction
Solution Approach 2:
The patent replaces complex mechanical camera or radar systems with a computational approach using trajectory control architecture. Instead of relying on optical or electromagnetic sensing systems, the invention uses mathematical modeling and coordinate transformations to calculate vehicle position and errors, simplifying the physical system while maintaining or improving measurement accuracy
2Reliability
If the control system relies on fixed path assumptions, then the system structure is simpler, but it cannot accurately track dynamic vehicle trajectories
Solution Approach 1:
The patent transforms the static predetermined path into a dynamic trajectory representation that adapts to actual vehicle motion. The system continuously updates the vehicle's expected position based on its velocity, orientation, and the predetermined path, allowing the control architecture to track dynamic trajectories accurately while maintaining a structured approach through systematic coordinate transformations and error calculations
Data Source
AI summary
A system includes data processing hardware and memory hardware in communication with the data processing hardware. The memory hardware stores instructions that, when executed on the data processing hardware cause the data processing hardware to perform operations. The operations include monitoring, via a trajectory control architecture of a controller, at least one active safety feature and a trajectory of a vehicle, tracking, via the trajectory control architecture, an error of the trajectory, and comparing the tracked error with a trajectory history stored on the controller. The operations also include adapting, based on the comparison of the tracked error and the trajectory history, performance elements of the vehicle via the trajectory control architecture and monitoring, based on the adapted performance elements, the trajectory of the vehicle.