首页|面向大田作物冠层信息采集的自走式轮式平台设计与试验

面向大田作物冠层信息采集的自走式轮式平台设计与试验

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大田作物冠层包含丰富信息,可为开展作物表型和作物行感知方法研究提供数据资料.当前信息采集过程通常面临作物高度变化不均、不同生长期作物表现差异大等问题,对地面采集装备适应性和作业效率造成较大困难.为此,本文设计了一种具备轮距与地隙可调、人工遥控和自动导航双模控制功能的分布式电驱轮式平台.首先,分析典型大田作物的农艺性状,确定平台结构边界参数,开展整机构型设计.开发底盘控制系统,建立以STM32F103芯片为核心控制器的运动控制系统,支持前轮阿克曼转向、四轮阿克曼转向和原地转向等多种转向模式;构建以Xavier为决策控制器、GNSS/INS组合导航定位的导航控制系统.开展底盘运动性能试验,试验结果表明,所建平台直线对中性能稳定、转向灵活,对于遥控直线行驶试验,横向偏差平均值为0.019m、标准差为0.017m;航向偏差平均值为1.67°、标准差为1.03°;对于转向性能试验,前轮阿克曼转向平均精度为96.57%、四轮阿克曼转向平均精度为96.64%、原地转向平均偏移量为0.034 m.以玉米为代表性作物,开展作物冠层图像采集试验,验证所建平台的有效性,结果表明:所建平台能够自动跟踪规划路线进行对行行驶、地头换向、跨行对中等动作,完成冠层图像无损采集;对行行驶横向偏差平均值不大于0.052m、标准差不大于0.029 m,航向偏差平均值不大于5.653°、标准差不大于3.843°.
Design and Test of Self-propelled Wheeled Platform for Field Crop Canopy Information Collection
The field crop canopy contains a wealth of information that can provide important data for the study of crop phenotype and crop row perception methods.At present,the information collection process usually faces problems such as uneven crop height change and large differences in crop performance in different growth periods,which causes great difficulties to the adaptability and operation efficiency of ground acquisition equipment.Therefore,a distributed electric wheeled platform was designed with adjustable wheel base and ground clearance,manual remote control and automatic navigation dual-mode control.Firstly,the agronomic traits of typical field crops were analyzed,the boundary parameters of the platform structure were determined,and the whole structure design was carried out.The chassis control system was developed,a motion control system with STM32F103 chip as the core controller was established,which can support multiple steering modes such as front-wheel Ackerman steering,four-wheel Ackerman steering and in-place steering.A navigation control system with Xavier as the decision controller and GNSS/INS integrated navigation and positioning was constructed.The chassis motion performance test showed that the straight-line alignment performance of the built platform was stable and the steering was flexible,and the average lateral deviation was 0.019 m,the standard deviation was 0.017 m,the average heading deviation was 1.67° and standard deviation was 1.03°.For the steering performance test,the average steering accuracy of the front wheel Ackerman was 96.57%,the average steering accuracy of the four-wheel Ackerman was 96.64%,and the average deviation of in-situ steering was 0.034 m.Taking maize as a representative crop,the crop canopy image acquisition experiment was carried out to verify the effectiveness of the built platform,and the results showed that the built platform could automatically track the planned route for row driving,ground head reversal,and cross-row alignment,and complete the non-destructive collection of canopy images.The average lateral deviation of the opposite driving was not more than 0.052 m,the standard deviation was not more than 0.029 m,the average value of the course deviation was not more than 5.653°,and the standard deviation was not more than 3.843°.

wheeled vehiclesfield cropsinter-bank operationsautomatic navigationline operation

田永浩、刘禹、张硕、马尧、翟志强、朱忠祥、杜岳峰

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中国农业大学工学院,北京 100083

轮式车辆 大田作物 分布式驱动 自动导航 对行作业

2024

农业机械学报
中国农业机械学会 中国农业机械化科学研究院

农业机械学报

CSTPCD北大核心
影响因子:1.904
ISSN:1000-1298
年,卷(期):2024.55(z1)