Fertilization Precision Control for Water-Fertilizer Integrated Equipment
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Solution Overview
Problem
Current water and fertilizer integrated equipment face challenges in achieving precise fertilization control due to wide EC value fluctuations and structural delays, leading to low control precision when using time control or PID methods.
Innovation Solution
A fertilization precision control method using estimation of distribution algorithms to establish and solve an optimal control model, incorporating real-time data collection, least square fitting, and Gauss distribution sampling to enhance control precision and account for system delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If time control method is adopted, then control process is simple, but EC value fluctuation range is wide and control precision is low
Solution Approach 1:
The patent implements a feedback control mechanism where EC values are continuously monitored by sensors and fed back to the control system. The control system compares actual EC values with target values and adjusts fertilizer absorption accordingly, resolving the contradiction by maintaining simplicity while achieving precision through closed-loop feedback.
Solution Approach 2:
The patent dynamically adjusts control parameters including EC value thresholds, sampling intervals, and fertilizer absorption rates based on real-time system state. This allows the control system to adapt to varying conditions and maintain high precision without complex control logic.
2Measurement precision
If PID control method is adopted, then control precision is improved, but structural delay of data acquisition and fertilizer absorption reduces control effectiveness
Solution Approach 1:
The patent implements predictive control by calculating anticipated EC value changes based on current absorption rates and system characteristics. The control system pre-adjusts fertilizer absorption commands to compensate for known structural delays in data acquisition and fertilizer dissolution, effectively reducing the impact of time delays on control precision.
Solution Approach 2:
The patent introduces an intermediate prediction model that bridges the gap between control commands and actual EC value changes. This model accounts for the structural delays in the system and generates intermediate control signals that compensate for the time lag, improving overall control effectiveness.
3Device complexity
If traditional control methods are used, then device complexity is low, but fertilization precision control is insufficient
Solution Approach 1:
The patent employs a feedback control architecture that continuously monitors EC values and adjusts fertilizer absorption in real-time. This feedback mechanism enables high fertilization precision while maintaining relatively simple device complexity by using standard sensors and control components arranged in a closed-loop configuration.
Data Source
AI summary
A fertilization precision control method for water and fertilizer integrated equipment and a control system thereof includes the following steps: step S1, establishing a fertilization precision control model of the water and fertilizer integrated equipment; and step S2, solving an optimal solution of the fertilization precision control model by adopting estimation of distribution algorithms.