Automated Guided Vehicle Kinematic Route Specification
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Solution Overview
Problem
Existing automated guided transport vehicles for containers lack precise and safe automated guidance, especially when considering the unique kinematic boundary conditions of each vehicle, such as articulation angles, which affects their ability to follow desired routes accurately during both forward and rearward travel.
Innovation Solution
A method and system that determine and specify different trajectories for different transport vehicles based on their kinematic boundary conditions, using a vehicle controller to actuate steering and travel mechanisms, ensuring precise and safe automated guidance by comparing actual positions and orientations with desired routes and adjusting accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single generic desired route is specified for all transport vehicles, then the control system is simple, but the guidance precision deteriorates due to ignoring individual kinematic boundary conditions
Solution Approach 1:
The patent applies local quality by specifying individual desired routes for each transport vehicle based on its specific kinematic boundary conditions (articulation angle, wheelbase, track width). Instead of using a single generic route for all vehicles, the system tailors the guidance parameters to match each vehicle's unique characteristics, thereby improving guidance precision without requiring complex real-time adjustments during operation.
Solution Approach 2:
The patent implements preliminary action by pre-determining vehicle-specific desired routes before the transport operation begins. The management system calculates and stores optimized routes for each vehicle type considering their kinematic constraints in advance. This allows the vehicles to follow pre-optimized paths that account for their individual characteristics, achieving high precision guidance while keeping the real-time control system relatively simple.
2Reliability
If automated guidance does not consider specific kinematic boundary conditions, then the system is easier to operate, but the reliability of route following deteriorates
Solution Approach 1:
The patent applies parameter changes by incorporating specific kinematic parameters (articulation angle α, wheelbase l, track width b) into the desired route specification for each vehicle. The management system adjusts route parameters such as curvature radius and steering angle based on these vehicle-specific characteristics, ensuring that each vehicle follows a geometrically feasible and optimized path that maximizes route following accuracy.
Solution Approach 2:
The system implements self-service by enabling each transport vehicle to autonomously follow its pre-determined desired route using its own controller. The vehicle's controller automatically adjusts steering and propulsion based on the vehicle-specific route parameters, without requiring manual intervention or complex real-time coordination between vehicles. This maintains ease of operation while ensuring reliable route following through individualized guidance.
3Measurement precision
If different trajectories are determined for different vehicles based on kinematic conditions, then guidance precision is improved, but the management system complexity increases
Solution Approach 1:
The management system applies preliminary action by pre-calculating and storing desired routes for each vehicle type based on their kinematic boundary conditions. This offline calculation phase handles the complexity of determining vehicle-specific trajectories, allowing the system to achieve high navigation precision without requiring complex real-time computations during vehicle operation. The pre-determined routes are then simply followed during actual transport tasks.
Solution Approach 2:
The patent implements local quality by creating customized desired routes for each vehicle type that reflect their specific navigation characteristics. Instead of using a universal routing algorithm for all vehicles, the system develops vehicle-specific route parameters (curvature, steering angles, speed profiles) that optimize navigation precision for each vehicle's unique kinematic properties, thereby achieving high precision without requiring overly complex real-time control systems.
Data Source
AI summary
A method and system are provided for operating an automatically guided container transport vehicle that can be automatically guided during forward driving and during rearward driving. The transport vehicle includes a towing vehicle and a trailer with a loading surface for at least one container. The transport vehicle has a vehicle control system for controlling a steering system and a travel drive of the transport vehicle in such a way that the transport vehicle follows a nominal route. The nominal route is automatically pre-defined taking into account a trajectory of the transport vehicle.


