Design and Optimization of Precision Fertilization Control System Based on Hybrid Optimized Fractional-Order PID Algorithm

In order to mitigate time-varying, lag, and nonlinearity impacts on fertilization systems and achieve precise control of liquid conductivity, we propose a novel hybrid-optimized fractional-order proportional-integral-derivative (PID) algorithm. This algorithm utilizes a fuzzy algorithm to tune the f...

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Bibliographic Details
Published inProcesses Vol. 11; no. 12; p. 3374
Main Authors Wang, Hao, Zhang, Lixin, Hu, Xue, Wang, Huan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.12.2023
Subjects
Accuracy
Algorithms
Comparative analysis
Control algorithms
Control systems
Controllers
Design optimization
Dynamic stability
Electric properties
Experiments
Fertilization
Fertilizers
Fuzzy control
Genetic algorithms
Hybrid systems
Irrigation
Laplace transforms
Liquor
Matlab
Neural networks
Nonlinear control
Nonlinear systems
Nonlinearity
Optimization
Proportional integral derivative
Response time
Stability tests
Time delay systems
China
Online AccessGet full text
ISSN2227-9717
2227-9717
DOI10.3390/pr11123374

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Summary:In order to mitigate time-varying, lag, and nonlinearity impacts on fertilization systems and achieve precise control of liquid conductivity, we propose a novel hybrid-optimized fractional-order proportional-integral-derivative (PID) algorithm. This algorithm utilizes a fuzzy algorithm to tune the five parameters of the fractional-order PID algorithm, employs the Smith predictor for structural optimization, and utilizes Wild Horse Optimizer, improved by genetic algorithms, to optimize fuzzy rules. We conducted MATLAB simulations, precision experiments, and stability tests on this controller. MATLAB simulation results, along with precision experiment results, indicate that compared to PID controllers, Smith predictor-optimized PID controllers, and fuzzy-tuned fractional-order PID controllers, the proposed controller has the narrowest steady-state conductivity range, the shortest settling time, and the lowest overshoot, showcasing excellent overall dynamic performance. Stability test results demonstrate that the controller maintains stable operation under different pressure conditions. Therefore, this control system from our study achieves superior control effectiveness, providing a viable approach for the control of nonlinear time-delay systems.
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ISSN:2227-9717
2227-9717
DOI:10.3390/pr11123374