基于arduino的小型蔬菜种植机远程控制系统的设计与性能测试

IF 0.6 Q4 AGRICULTURAL ENGINEERING
Yin-ping Zhang, Bin Wang, X. Li, Hua Zhou, Fangyuan Lu, Jiasheng Wang
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引用次数: 1

摘要

设施大棚相对狭窄密闭,机器运转频繁转动。现有的蔬菜播种机多采用手动支撑,操作平直性差,回转费时费力。本文设计了一种基于Arduino单片机的小型蔬菜播种机远程控制系统,采用Arduino单片机遥控技术、多电机同步驱动技术、差动电动推杆结合升降和转向控制等方式,通过远程控制,实现了蔬菜播种过程中播种机的前进、调速、整机升降和田间换线、转向。建立了差速转向模型和无刷电机调速模型,设计了机器人人机交互APP,实现了对蔬菜播种机的远程精确控制。以播种机的精度和转向精度为指标,对控制系统的精度进行了性能测试。结果表明:介质条件下的速度和中、低速操作,播种的蔬菜播种机是最稳定可靠,播种机的速度偏差率为1.59%,2 s的驱动电动机启动后,实际的速度接近目标速度、差动转向相对准确,指导的合格率是89.8%以上,同步提升的速度误差机制往往是稳定的。本研究可为设施农业智能装备的发展提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DESIGN AND PERFORMANCE TEST OF REMOTE CONTROL SYSTEM FOR SMALL VEGETABLE PLANTER BASED ON ARDUINO
Facilities greenhouses are relatively narrow and airtight, and the machine operation turns frequently. The existing vegetable seeders is supported by manual hand, and the straightness of operation is poor, Turning around is time-consuming and laborious. This paper designs a remote control system of small vegetable seeder based on Arduino microcontroller, the Arduino single-chip microcomputer remote control technology, multi-motor synchronous drive technology, differential-electric push rod combined with lifting and steering control and other methods are adopted, Through remote control, the forward, speed regulation, lifting of the whole machine and field line change and steering of the seeder during vegetable sowing are realized. The differential steering model and brushless motor speed control model are established, and the android human-computer interaction APP is designed to realize the remote precise control of vegetable seeder. The performance test of the accuracy of the control system was carried out with the accuracy and steering accuracy of the seeder. The results showed that : under the condition of medium speed and medium and low speed operation, the seeding level of vegetable seeder is the most stable and reliable, the speed deviation rate of the seeder is 1.59 %, after starting the drive motor for 2s, the actual speed is close to the target speed, differential steering is relatively accurate, the qualified rate of steering is more than 89.8 %, the synchronous speed error of the lifting mechanism tends to be stable.This study can provide reference for the development of intelligent equipment for facility agriculture.
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来源期刊
INMATEH-Agricultural Engineering
INMATEH-Agricultural Engineering AGRICULTURAL ENGINEERING-
CiteScore
1.30
自引率
57.10%
发文量
98
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