Tractor-Harvester Speed Control via Feedback
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Solution Overview
Problem
Operators of agricultural harvesting machines face challenges in selecting an optimal driving speed due to complex and constantly changing operating parameters, leading to potential machine downtime, damage, or suboptimal performance, especially for less experienced drivers.
Innovation Solution
A control device that operates in harvesting mode to specify a driving speed based on detected parameters of both the harvesting machine and towing vehicle, providing recommendations or automatic speed regulation to ensure safe and efficient operation, considering factors like crop moisture, bale density, and machine load, while allowing for prioritization of harvesting goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver selects a lower driving speed for safety reasons, then machine damage and downtime are avoided, but the performance potential of the combination cannot be fully exploited
Solution Approach 1:
The control device continuously monitors operating parameters from both the towing vehicle and harvesting machine, and automatically adjusts driving speed based on real-time feedback. This closed-loop control system eliminates the need for manual speed selection while preventing overloading, thus resolving the contradiction between safety and productivity.
Solution Approach 2:
The control device autonomously determines and regulates the driving speed without requiring driver intervention or expertise. The system serves itself by automatically optimizing performance while ensuring safety, making the combination accessible to less experienced operators while maximizing productivity.
2Productivity
If the driver chooses a higher driving speed to maximize productivity, then harvesting efficiency increases, but the risk of machine downtime and damage due to overloading increases
Solution Approach 1:
The control device uses continuous feedback from sensors monitoring operating parameters to dynamically adjust driving speed. When approaching overload conditions, the system automatically reduces speed to prevent damage, while maintaining high speeds when conditions permit, thus maximizing productivity without compromising reliability.
Solution Approach 2:
The driving speed is made dynamically adjustable by the control device based on real-time operating conditions rather than being fixed or manually selected. This dynamic optimization allows the system to continuously operate at the boundary between maximum productivity and safety limits.
3Ease of operation
If manual speed selection is used, then the driver has full control, but complex and constantly changing operating parameters make reliable speed selection difficult even for experienced drivers
Solution Approach 1:
The control device extracts the complex task of speed selection from the driver and transfers it to an automated system. The driver retains control through the ability to override or adjust settings, but the complex parameter monitoring and decision-making are handled by the control device, significantly easing operation.
Data Source
Figure 1
Figure 2
AI summary
The combination (1) has a harvesting machine (3) comprising working units for conveying and/or processing crop material (G) and drawn by a towing vehicle (2). The harvesting machine is in drive connection with the towing vehicle in order to operate the working units of the harvesting machine by supplying drive power. A control device (10) is operated in a harvesting mode in order to specify a running speed (V) for the combination depending on ascertained operating parameters of the harvesting machine and the towing vehicle. The working units are designed as a pick-up part (4), cutting rotor (5), feed rake (6) and baling ram (7).