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大田對靶施藥霧滴定向沉積控制方法研究
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國家自然科學(xué)基金項目(52075092)和黑龍江省博士后落地項目(LBH-Q19007)


Method for Controlling Directional Deposition of Mist Droplets for Target Application in Field
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    摘要:

    針對植保機械在大田對靶施藥過程中霧滴沉積偏移導(dǎo)致準(zhǔn)確率低的問題,,本文基于大田對靶施藥機器人,開展了霧滴定向沉積控制方法研究,。以對靶噴施霧滴群體為研究對象,,闡述對靶施藥工作原理和作業(yè)特點,剖析霧滴群體沉積偏移成因,;根據(jù)機器人空間結(jié)構(gòu)位置關(guān)系,,建立基于GNSS/IMU卡爾曼濾波信號的噴頭運動狀態(tài)感知模型與沉積位置預(yù)估模型,確定噴頭響應(yīng)控制準(zhǔn)則,;在此基礎(chǔ)上以機車作業(yè)速度,、噴頭控制方法為試驗因素,以對靶噴施準(zhǔn)確率和沉積偏移距離為試驗指標(biāo),,開展平整場地對靶噴施模擬試驗,;選取滿足作業(yè)需求的組別進(jìn)行大田對靶施藥作業(yè)驗證。試驗表明:作業(yè)速度0.5,、1.0,、1.5、2.0m/s下的平整地面對靶施藥平均準(zhǔn)確率分別為99.8%,、98.4%,、95.9%、76.5%,,沉積偏移距離分別為3.8,、5.4、7.5、10.0cm;作業(yè)速度0.5,、1.0,、1.5m/s下的田間對靶施藥準(zhǔn)確率分別為98.7%、96.7%,、95.3%,。結(jié)果表明,基于GNSS/IMU卡爾曼濾波的霧滴沉積位置預(yù)估噴頭控制方法,,滿足大田對靶施藥作業(yè)需求,。

    Abstract:

    In order to solve the problem that the accuracy of plant protection machinery in the process of target application in large fields is reduced due to the drift of fog droplet deposition, a research on the method of fog droplet directional deposition control was carried out based on the robot of target application in large fields. Based on the target spraying droplet population, the working principle and operational characteristics of target application were explained, and the causes of droplet population deposition shift were analyzed. Combined with the prescription chart target position information to control the nozzle for fast action, the target spraying simulation test was carried out on a leveled field with target spraying accuracy and deposition offset distance as test factors, and the group meeting the operational requirements was selected for the verification of target application in a large field. The test results showed that the average accuracy of target application on level ground at 0.5m/s, 1.0m/s, 1.5m/sand 2.0m/s was 99.8%, 98.4%, 95.9% and 76.5%, respectively, and the deposition offset distance was 3.8cm,5.4cm, 7.5cm and 10.0cm, respectively. The fieldtotarget application accuracies of the operating speeds were 98.7%, 96.7%, and 95.3% at speeds of 0.5m/s, 1.0m/s and 1.5m/s, respectively. The results showed that the nozzle control method based on GNSS/IMU Kalman filter for droplet deposition position prediction can meet the demand of target application in large fields. This target application simulation method allowed accurate recording of target application accuracy and droplet deposition offset distances in a near natural environment.

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李海龍,權(quán)龍哲,皮鵬飛,郭英豪,馬震,余濤.大田對靶施藥霧滴定向沉積控制方法研究[J].農(nóng)業(yè)機械學(xué)報,2022,53(6):102-109,258. LI Hailong, QUAN Longzhe, PI Pengfei, GUO Yinghao, MA Zhen, YU Tao. Method for Controlling Directional Deposition of Mist Droplets for Target Application in Field[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(6):102-109,,258.

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  • 收稿日期:2022-03-26
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  • 在線發(fā)布日期: 2022-04-18
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