农机化研究2024，Vol.46Issue(7)：183-187,5.
基于KNN神经网络的无人机作业操控系统研究
Research on UAV Operation Control System Based on KNN Neural Network
摘要
Abstract
In order to further improve the precision operation efficiency of agricultural plant protection UAV in China,op-timization research was carried out on its control system.The KNN neural network algorithm was selected as the imple-mentation concept.Based on the UAV operation control principle,a correct dynamic calculation model of process parame-ters was established to realize the algorithm and control configuration of the control system.The UAV spray operation test based on the KNN neural network showed that the UAV control system under the KNN neural network algorithm operated stably,and the classification accuracy of process parameters was relatively improved by 8.0%,the deviation rate between the target spraying flow and the test spraying flow had been reduced by 5.71%,the uniformity of pesticide spraying could be increased to 94.75%,and the overall efficiency of the whole machine operation had been significantly improved.This design concept takes the computer intelligent data processing as the starting point,which has a certain role in promoting the high efficiency and full play of the UAV.It would be used for the improvement and development of the control system of similar intelligent agricultural machinery equipment,and be a strong practical reference significance.关键词
无人机/操控系统/神经网络算法/分类准确率/喷施均匀度Key words
UAV/control system/neural network algorithm/classification accuracy/uniformity of spraying分类
农业科技引用本文复制引用
夏晶晶..基于KNN神经网络的无人机作业操控系统研究[J].农机化研究,2024,46(7):183-187,5.基金项目
河南省自然科学基金项目(202300410189) （202300410189）
