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基于BP神经网络的变量喷雾供药系统研究

张敏 范龙 代祥 肖静 徐幼林

林业工程学报2017,Vol.2Issue(2):133-137,5.
林业工程学报2017,Vol.2Issue(2):133-137,5.DOI:10.13360/j.issn.2096-1359.2017.02.022

基于BP神经网络的变量喷雾供药系统研究

Study on the pesticide-delivery system of variable-rate spraying based on BP neural network

张敏 1范龙 1代祥 1肖静 1徐幼林1

作者信息

  • 1. 南京林业大学机械电子工程学院,南京 210037
  • 折叠

摘要

Abstract

In the research on the pesticide-delivery system of the variable-rate spraying, the current accurate pesticide-delivery system is difficult to meet the dynamic change of the variable-rate spraying for the accurate pesticide flow reg-ulating because of limitations in the control variable and its control algorithm. The accurate pesticide flow control of the variable-rate spraying can reduce the environmental pollution caused by excessive pesticides as well as the damage of the pesticide residue for human and animals, and improve the efficiency of the pesticide application. An experimen-tal investigation was conducted for the pesticide-delivery system of the variable-rate spraying based on the mechanism of the flux of the flow determined by the opening size of a flow regulating valve and the pressure difference between both ends. According to the specific influence of regulator on flux flow, the correlation between them was analyzed through choosing the appropriate experimental device such as: flow control valve, pressure gauge and turbine flow meter. The pesticide-delivery system of the variable-rate spraying was designed by building the test bench and imple-menting the theoretical ideas into practice. The BP neural network toolbox of Matlab was used to simulate the test re-sults. The results showed that in the pesticide-delivery system of the variable-rate spraying, there is a certain positive correlation between the flow flux and the opening size of the flow regulating valve. The increasing nonlinear relation-ship between them was simulated by BP neural network under the constant pressure difference. The application feasi-bility of BP neural network in the regulating system was tested and verified, which can avoid the disadvantages of in-accurate flow output caused by the hierarchical fuzzy control algorithm and can make the intelligent control of pesticide flow more suitable for the dynamic change of the variable precision pesticide-delivery system in plant protection opera-tions. The results of this study will provide theoretical basis for the further research on the accurate pesticide-delivery system of the variable-rate spraying.

关键词

变量施药/供药系统/流量调节阀/开口度/BP神经网络

Key words

variable-rate pesticide application/pesticide-delivery system/flow regulating valve/opening size/BP neural network

分类

信息技术与安全科学

引用本文复制引用

张敏,范龙,代祥,肖静,徐幼林..基于BP神经网络的变量喷雾供药系统研究[J].林业工程学报,2017,2(2):133-137,5.

基金项目

江苏省农机三新工程项目( NJ2014-11) ( NJ2014-11)

江苏省农业科技支撑计划项目( BE2012383) ( BE2012383)

江苏高校优势学科建设工程资助项目(PAPD) (PAPD)

2013年度江苏高校优秀科技创新团队(苏教科[2013]10号). (苏教科[2013]10号)

林业工程学报

OA北大核心CSTPCD

2096-1359

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