Agricultural Spreader Control Using Kalman Filtering
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Solution Overview
Problem
Conventional agricultural spreaders lack the capability to accurately measure and control the spreading rate of granular materials, leading to inefficiencies and non-compliance with environmental regulations due to the inability to monitor and adjust application rates in real-time.
Innovation Solution
An agricultural spreader control system utilizing sensors and actuators, combined with a processor and memory, estimates and controls the application rate by integrating load cell measurements with apron speed and swath width data, employing Kalman filtering to provide optimal estimates and enable active feedback control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional spreading equipment is used, then the spreader can operate and distribute material, but it lacks accurate measurement and control capability for spreading rate
Solution Approach 1:
The patent implements a feedback control system that uses load cells to measure the weight of material in the hopper, apron speed sensors to monitor material flow rate, and GPS to track vehicle position and speed. The controller processes this feedback information and adjusts the apron speed via variable speed motor to maintain the desired spreading rate, creating a closed-loop control system that resolves the measurement precision issue.
Solution Approach 2:
The patent replaces conventional mechanical measurement methods with electronic sensing systems. Load cells substitute for mechanical weight indicators, electronic speed sensors replace mechanical tachometers, and GPS technology substitutes for manual position tracking. This substitution enables precise digital measurement and control while managing system complexity through electronic integration.
2Measurement precision
If open-loop spreading rate control is used, then the equipment can vary spreading rate, but there is no way to monitor results accurately
Solution Approach 1:
The system continuously monitors the actual spreading rate by combining load cell weight measurements, apron speed data, and GPS position information. The controller calculates the actual application rate in real-time and compares it with the desired rate, providing continuous feedback that eliminates the information loss present in open-loop systems.
Solution Approach 2:
The patent introduces a controller as an intermediary that processes information from multiple sensors (load cells, speed sensors, GPS) and translates them into meaningful spreading rate data. This intermediary consolidates raw sensor data into accurate application rate measurements, enabling real-time monitoring that was impossible with direct open-loop operation.
3Loss of substance
If no measurement system is installed, then the spreader structure remains simple, but material is wasted due to inability to control application rates
Solution Approach 1:
The feedback control system prevents material waste by continuously monitoring the actual spreading rate and adjusting the apron speed to match the desired rate. The load cells detect when the hopper is becoming empty and trigger refilling alerts, preventing gaps in application. This closed-loop control ensures material is applied only where needed at the correct rate, eliminating the waste associated with unmonitored spreading operations.
Solution Approach 2:
The system enables the spreader to self-regulate its operation through automated feedback control. The controller automatically adjusts apron speed based on real-time measurements without requiring constant manual intervention. The system monitors its own performance and makes corrections, allowing the equipment to service itself and maintain optimal operation, thereby preventing material waste through autonomous control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system allows for precise measurement and control of material application rates, enhancing compliance with environmental regulations and optimizing material usage by enabling accurate disposal and application rate adjustments, thus supporting precision farming operations.
Implementation Method 1
A load cell measures the weight of a bin and material contained in the bin
Data Source
AI summary
A spreader control system digitally filters noisy load cell measurements and inaccurate flow rate measurements to form an optimal estimate of material weight in a spreader bin. This estimate may be combined with spreader swath width and vehicle speed to determine application rate. When actuators for parameters such as apron speed or gate size are available, spreading rates may be controlled with active feedback.