Predictive Overlap Control for Agricultural Implement Latency
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Solution Overview
Problem
Current in-cab control systems for agricultural implements suffer from latency issues, leading to gaps or over-applications of agricultural functions due to delays in turning on and off, which are exacerbated by GPS position update frequency and individual implement reaction times.
Innovation Solution
A predictive model in the tractor control system calculates 'turn on/off in X feet' or 'turn on/off in X seconds' commands, accounting for individual implement latency by using a product delay implement edge, allowing precise initiation or cessation of agricultural functions independent of GPS update rates and mechanical latencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized control system uses reactive models with GPS position information updated at 5-10 hertz to command implement turn on/off, then the system can provide basic overlap control, but gaps or over-applications of 3.5 to 7 feet occur due to latency in software processing and implement reaction time
Solution Approach 1:
The system performs preliminary calculations to determine future intercept points where the implement will cross boundaries, accounting for current speed and heading. Instead of reacting to current position, the system predicts future positions and issues commands in advance, allowing the implement to be activated or deactivated exactly when needed despite processing and mechanical latencies.
Solution Approach 2:
The system introduces an intermediary predictive calculation layer between GPS position data and implement control commands. This intermediary computes look-ahead distances and intercept points based on current motion parameters, translating raw position data into compensated control signals that account for system delays.
2Measurement precision
If GPS position update frequency is increased to reduce position variation, then position accuracy improves, but the system complexity and computational burden increase
Solution Approach 1:
The system creates a computational model (copy) of the implement's future trajectory based on current speed and heading parameters. Instead of relying on frequent GPS updates to track position, the system uses this predictive copy to determine where the implement will be in the future, maintaining accuracy without increasing GPS update frequency or system complexity.
3Adaptability or versatility
If multiple individual latencies of various agricultural implements are compensated by reprogramming product delay time, then each implement can be tuned, but the device complexity and programming requirements increase
Solution Approach 1:
The system performs preliminary calculations of look-ahead distances that inherently incorporate each implement's specific latency characteristics. Instead of requiring operators to program delay times, the system pre-computes compensated intercept points based on measured or specified implement response times, automatically adapting to different implements without increasing programming complexity.
Data Source
AI summary
An overlap control system includes an agricultural vehicle control system operable to utilize a product delay (PD) value in seconds, a start early (SE) distance, and/or a stop late (SL) distance to determine at least one offset edge from a location of an agricultural implement. The agricultural vehicle control system is operable to look ahead along a guidance swath or at least one predicted path of the agricultural implement, and to determine that an intercept will occur between the at least one offset edge and a boundary along the guidance swath or predicted path. The agricultural vehicle control system is further operable to calculate a distance or time to the intercept, and to send a command to change an on/off state of the agricultural implement in the calculated distance or time.