Load-Adaptive Trajectory Control for Automated Utility Vehicles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated utility vehicles face complexity in trajectory planning and control due to varying load configurations and weight distributions, which can lead to unsafe situations, especially in tractor-trailer combinations, as conventional methods do not adequately account for changing load conditions.
Innovation Solution
A method that determines the current weight and load distribution of automated utility vehicles using a balance system, which provides real-time load information for adaptive trajectory planning and control, optimizing driving maneuvers and improving vehicle safety by calibrating wheel suspension and ride level control systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional trajectory planning and control methods are used for automated utility vehicles, then the control system is simpler to implement, but safety is compromised due to inadequate accounting for changing load conditions
Solution Approach 1:
The system performs preliminary determination of weight and load distribution on a balance before the automated utility vehicle departs. This advance measurement allows the trajectory planning and control parameters to be pre-adjusted according to the actual load conditions, ensuring safety without requiring complex real-time adjustments during operation.
Solution Approach 2:
The system uses feedback from the balance measurement results to adaptively adjust trajectory planning and control parameters. The determined weight and load distribution information is fed back to modify the driving behavior, creating a closed-loop control system that accounts for actual load conditions while maintaining manageable complexity.
2Reliability
If real-time load monitoring and adaptive trajectory control are implemented, then driving safety is improved, but the system complexity and computational requirements increase
Solution Approach 1:
The balance performs weight and load distribution measurements in advance before the vehicle departs. This preliminary action eliminates the need for complex real-time monitoring systems during vehicle operation, reducing overall system complexity while maintaining high safety standards through pre-determined adaptive parameters.
Solution Approach 2:
The automated utility vehicle autonomously uses the load information from the balance to self-adjust its trajectory planning and control parameters without requiring external intervention or complex continuous monitoring systems. The vehicle's control system automatically adapts to the measured load conditions.
3Reliability
If load-dependent trajectory adaptation is implemented, then situation-specific driving safety is improved, but the computational burden for real-time parameter adjustment increases
Solution Approach 1:
The system performs trajectory parameter adaptation in advance based on preliminary load measurements from the balance. By determining the appropriate trajectory parameters before the vehicle departs, the system avoids the need for continuous computational adjustments during operation, significantly reducing energy consumption while maintaining situation-dependent safety.
Data Source
AI summary
A method for operating an automated utility vehicle includes, after a change in the load state of the automated utility vehicle, determining a current weight and/or a current load distribution of the automated utility vehicle. The method further includes making available the determined current weight and/or the determined current load distribution in the form of current load information. The current load information is used for situation-dependent adaptation of planning and/or control of a trajectory of the automated utility vehicle.