基于NDVI的大豆叶面肥变量喷施控制系统设计与试验  

Design and Experiment of a Controlled System for Variable Spray Application on Soybean Foliar Fertilizer Based on NDVI

作　　者：吴杰鑫 王熙[1] 陈浩[1] 辛项玉 Wu Jiexin;Wang Xi;Chen Hao;Xin Xiangyu(College of Engineering,Heilongjiang Bayi Agricultural University,Daqing 163319,China)

机构地区：[1]黑龙江八一农垦大学工程学院,黑龙江大庆163319

出　　处：《农机化研究》2025年第6期78-83,共6页Journal of Agricultural Mechanization Research

基　　金：“十三五”国家重点研发计划项目(2016YFD020060802);“三纵”基础培训计划项目(ZRCPY202014)。

摘　　要：为实现精准变量喷施技术,设计了基于NDVI的大豆叶面肥变量喷施控制系统,并使用Green Seeker光谱传感器采集大豆植株冠层NDVI(归一化植被指数)信息,通过CAN总线传输到上位机,运用智能控制算法根据反馈的信息进行压力调节。以PID控制为对比,运用MatLab软件的Simulink模块建立变量喷施模型,验证Smith-模糊PID控制算法的有效性。试验结果表明:系统引入Smith-模糊PID算法降低了系统的滞后性,当压力分别为0.25、0.30、0.35 MPa时,比加入PID控制算法响应时间更短、超调量更小,具备良好的适应能力,可以作为一种变量喷施控制方法。To achieve precise variable spraying technology,a soybean foliar fertilizer variable spraying control system based on NDVI was designed.Green Seeker spectral sensors were used to collect NDVI(Normalized Difference Vegetation Index)information of soybean plant canopy,which was transmitted to the upper computer through CAN bus.Intelligent control algorithms were used to adjust pressure based on the feedback information.Using PID control as a comparison,a variable spraying model was established using the Simulink module of MatLab software to verify the effectiveness of the Smith fuzzy PID control algorithm.The experimental results showed that the introduction of Smith-fuzzy PID algorithm reduced the hysteresis of the system.When the pressures were 0.25 MPa,0.30 MPa and 0.35 MPa,it had smaller response time and overshoot compared to the addition of PID control algorithm.It had good adaptability and can be used as a variable spraying control method.

关 键 词：大豆叶面肥 变量喷施 归一化植被指数 Smith-模糊PID算法 

分 类 号：S224.21[农业科学—农业机械化工程] S220.39[农业科学—农业工程]