Forklift Adaptive Acceleration From Manual Driving Behavior
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing materials handling vehicles lack adaptive acceleration control, leading to suboptimal performance during semi-automated driving operations, as they rely on predefined, fixed acceleration limits that do not account for varying operator driving behaviors or load conditions.
Innovation Solution
A method and system for a materials handling vehicle that monitors and adapts to the vehicle's drive parameters during manual operations to calculate adaptive drive parameters, such as maximum acceleration, for subsequent semi-automated driving operations, ensuring that the acceleration limits align with the operator's recent driving behavior and the load conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed acceleration limits are used in semi-automated driving operations, then the control system is simple to implement, but the system cannot adapt to varying operator driving behaviors or load conditions
Solution Approach 1:
The system performs preliminary monitoring of drive parameters during the most recent manual operation to establish adaptive acceleration limits before executing semi-automated driving operations. This allows the system to prepare personalized control parameters in advance, improving adaptability without increasing real-time computational complexity
Solution Approach 2:
The system creates a copy of the operator's manual driving behavior patterns by monitoring and storing drive parameters during manual operation. This behavioral copy is then applied to control semi-automated operations, allowing the system to replicate the operator's preferred acceleration characteristics without requiring complex real-time decision-making algorithms
2Measurement precision
If adaptive acceleration control is implemented based on manual operation data, then the precision of semi-automated driving is improved, but the system requires additional monitoring and data processing
Solution Approach 1:
The controller performs multiple functions using the same hardware resources: it monitors drive parameters during manual operation, stores behavioral data, and executes semi-automated driving control. This multi-functionality approach improves measurement precision without requiring separate dedicated systems for each function
Solution Approach 2:
The system dynamically changes acceleration parameters based on monitored drive behavior data. By adjusting acceleration limits as variables rather than fixed values, the system achieves higher precision control while the complexity increase is managed through parameter-based adaptation rather than structural complexity
3Reliability
If the system monitors drive parameters during manual operation to establish adaptive limits, then the safety of semi-automated operations is improved, but the response time for implementing semi-automated driving may be delayed
Solution Approach 1:
The system continuously monitors and stores drive parameter data during manual operations in preparation for future semi-automated operations. This preliminary data collection occurs in the background without interrupting normal operations, so when semi-automated mode is requested, the adaptive limits are already established from the most recent manual operation, minimizing implementation delay
Solution Approach 2:
The system uses dynamic data replacement where the monitored drive parameters from the most recent manual operation continuously update the adaptive acceleration limits. This dynamic approach ensures safety is improved with current behavioral data while the system quickly adapts to new operating conditions without lengthy recalibration periods
Data Source
AI summary
A method for operating a materials handling vehicle in a semi-automated driving operation is provided comprising: monitoring, by a controller, a first vehicle drive parameter corresponding to a first direction of travel of the vehicle during a first manual operation of the vehicle by an operator and concurrently monitoring, by the controller, a second vehicle drive parameter corresponding to a second direction different from the first direction of travel during the first manual operation of the vehicle by an operator. The controller receives, after the first manual operation of the vehicle, a request to implement a first semi-automated driving operation. Based on the first and second monitored vehicle drive parameters during the first manual operation, the controller controls implementation of the first semi-automated driving operation.