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基于响应面法的P20型多旋翼无人机施药参数优化与试验 被引量:13

Optimization and test of spraying parameters for P20 multi-rotor electric unmanned aerial vehicle based on response surface method
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摘要 为了找出多旋翼无人机喷洒农药时影响农药沉积的因素及其影响程度,提高雾滴在靶标上的沉积水平,并通过试验制定相应的试验方法和规范,在单因素试验的基础上,采用Box-Benhnken的中心组合试验设计理论对施药机具的喷雾参数进行研究.以飞行高度、飞行速度、喷头流量等工作参数为影响因素,以雾滴在靶标上的沉积水平为目标函数,建立雾滴沉积水平的二次多项式数学模型,并分析模型的有效性与因子间的交互作用.利用Design-Expert 8.0.5软件的回归分析法和响应面分析法对模型进行优化分析,得到施药机最优喷洒参数组合.结果表明,对雾滴沉积水平影响大小依次为飞行高度、飞行速度、喷头流量;最优喷洒参数组合为飞行高度2.0 m,飞行速度3.7m·s^(-1),喷头流量430 m L·min^(-1),此条件下的雾滴在靶标上的最大沉积水平为68.69%,且与模型预测值相比相对误差为±5%以内. In order to find out the factors and the influence degree on multi-rotor electric unmanned aerialvehicle spraying deposition to increase the level of droplets deposition on target, based on the single-factor test, the spraying parameters were experimentally investigated by the central combination test and design concept of Box-E〉ehnken to establish the corresponding test methods and specifications. Using working parameters of flight height, flight velocity and nozzles flow rate as influence factodroplet deposition levels as target function,the quadratic polynomial model of droplet deposition levelswas established, and the effectiveness of mode and the interaction of factors were analyzed. The modelwas analyzed and optimized by regression analysis method and response surface analysis method ofDesign-Expert 8. 0. 5 software. The optimal combination of spraying parameters was obtained andverified, and the experimental verification of the mathematical model was also conducted. The results show that the decreasing effect sequence on droplet deposition levels on target is flight height, flightvelocity and nozzles flow rate. The optimal combination of spraying parameters is with flight height of2.0m, flight velocity of 3. 7 m·s-1 and nozzle flow rate of 430 mL · min ^1. The largest dropletdeposition level on target is 68. 69% under the optimal conditions, and the relative error to estimatedvalue on the model is lower than ± 5 %.
出处 《江苏大学学报(自然科学版)》 EI CAS CSCD 北大核心 2016年第5期548-555,共8页 Journal of Jiangsu University:Natural Science Edition
基金 江苏省2012年度普通高校研究生科研创新计划项目(CXLX12_0658) 江苏省现代农业装备与技术协同创新中心项目(NZXT01201402) 江苏省农业装备与智能化高技术研究重点实验室开放研究课题项目(NZ201005)
关键词 多旋翼无人机 参数优化 沉积水平 响应曲面法 飞行高度 飞行速度 喷头流量 multi-rotor unmanned aerial vehicle parameter optimization deposition level response sur-face methodology flight height flight speed nozzles flow rate
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