Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Dongxu Su, Weixiang Yao, Fenghua Yu, Yihan Liu, Ziyue Zheng, Yulong Wang, Tongyu Xu and Chunling Chen
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Dongxu Su: College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Weixiang Yao: College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Fenghua Yu: College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Yihan Liu: College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Ziyue Zheng: College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Yulong Wang: College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Tongyu Xu: College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
Chunling Chen: College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China

Agriculture, 2022, vol. 12, issue 7, 1-22

Abstract: Agricultural unmanned aerial vehicles (UAVs), which are a new type of fertilizer application technology, have been rapidly developed internationally. This study combines the agronomic characteristics of rice fertilization with weighted coefficient learning-modified single-neuron adaptive proportional–integral–differential (PID) control technology to study and design an aerial real-time variable fertilizer application control system that is suitable for rice field operations in northern China. The nitrogen deficiency at the target plot is obtained from a map based on a fertilizer prescription map, and the amount of fertilizer is calculated by a variable fertilizer application algorithm. The advantages and disadvantages of the two control algorithms are analyzed by a MATLAB simulation in an indoor test, which is integrated into the spreading system to test the effect of actual spreading. A three-factor, three-level orthogonal test of fertilizer-spreading performance is designed for an outdoor test, and the coefficient of variation of particle distribution Cv (a) as well as the relative error of fertilizer application λ (b) are the evaluation indices. The spreading performance of the spreading system is the best and can effectively achieve accurate variable fertilizer application when the baffle opening is 4%, spreading disc speed is 600 r/min, and flight height is 2 m, with a and b of evaluation indexes of 11.98% and 7.02%, respectively. The control error of the spreading volume is 7.30%, and the monitoring error of the speed measurement module is less than 30 r/min. The results show that the centrifugal variable fertilizer spreader improves the uniformity of fertilizer spreading and the accuracy of fertilizer application, which enhances the spreading performance of the centrifugal variable fertilizer spreader.

Keywords: rice fertilization; agricultural UAV; aerial spreading; PID control; variable operation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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