基于神经网络算法的植保无人机硬件电路设计  

Design of the Hardware Circuit of Plant Protector UAV Based onNeural Network Algorithm

作　　者：邱磊 杜迎丽 Qiu Lei;Du Yingli(Nanyang Vocational College of Agriculture,Nanyang 473000,China)

机构地区：[1]南阳农业职业学院,河南南阳473000

出　　处：《农机化研究》2023年第1期123-127,共5页Journal of Agricultural Mechanization Research

基　　金：河南省高等学校重点科研指导计划项目(21B510007)。

摘　　要：针对现有的植保无人机操控较为复杂的现状,基于神经网络算法进行了硬件电路设计。植保无人机的主要组成包括控制结构、承力结构、升力结构和喷洒结构。为了提高多旋翼无人机的性能,采用BP神经网络对其控制系统进行设计,包括建立模型辨识控制器和逆模型控制器,以达到对多旋翼植保机辨识和控制的要求。为了验证该植保无人机的性能,对其进行控制性能和喷药试验。试验结果表明:植保无人机控制系统具有良好的自适应控制能力,喷药过程稳定,能够满足客户要求。Aiming at the complicated requirement of existing plant protector,the hardware circuit of plant protector based on neural network algorithm was designed.The plant protector was constituted of control strutre,load-bearing structure,lifting structure and wine-spraying structure.The control structure was designed by BP neural network algorithm to improve the control property of multi-rotor plant protector.The model identification controller and class model controller were established to meet the requirement of multi-rotor model protection aircraft identification and control.To verify the performance of plant protection,the control performance and spraying tests were carried out.The test results show that the control system has good adaptive ability,the spraying process is stable.And it could meet the requirement of customers.

关 键 词：植保无人机 硬件电路 神经网络算法 控制系统 自适应能力 

分 类 号：S252[农业科学—农业机械化工程]