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植保無人機飛控系統(tǒng)與航線規(guī)劃研究進展分析
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國家重點研發(fā)計劃項目(2017YFD0700601-2)、中國農業(yè)科學院科技創(chuàng)新工程項目(農科院辦(2014)216號)和中央級公益性科研院所基本科研業(yè)務費專項資金項目(S202010,、S202021)


Development and Analysis of Plant Protection UAV Flight Control System and Route Planning Research
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    摘要:

    應用無人機開展植保作業(yè)是有效防治病蟲害的重要途徑,。本文對植保無人機行業(yè)發(fā)展和相關應用研究進行了綜述,分別從植保無人機飛控系統(tǒng),、單機作業(yè)航線規(guī)劃,、多機作業(yè)調度場景及優(yōu)化方法3個角度進行了闡述,以增強植保無人機作業(yè)效果與提高作業(yè)效率為目標,,分析了植保無人機飛行控制系統(tǒng)及航線規(guī)劃與調度的研究現(xiàn)狀,。針對植保無人機因作業(yè)精度要求高而導致其飛控系統(tǒng)制造成本高的問題,,提出應研發(fā)低成本、高精度,、可適應植保無人機作業(yè)需求的測姿器件,,開發(fā)相應的姿態(tài)估計算法;針對植保無人機航線規(guī)劃,、優(yōu)化調度模型與實際作業(yè)需求不匹配的情況,,總結了單機作業(yè)航線規(guī)劃與多機調度優(yōu)化場景、約束條件與優(yōu)化方法,。最后,提出應研發(fā)植保無人機自動補給平臺,,構建基于多機協(xié)同的作業(yè)管理與調度優(yōu)化模型,,以增強植保無人機在復雜作業(yè)環(huán)境中的作業(yè)效果,提高作業(yè)效率,。

    Abstract:

    Plant protection UAV operation has the advantages of safety and efficiency, saving medicine and water volume, strong adaptability, good prevention and control effects, using UAVs to carry out plant protection operations is an important way to effectively prevent pests and diseases. Compared the research on the development and related applications industry, the factors that affected the operation effect and efficiency of the plant protection UAVs were analyzed. Flight control system, single UAV route planning, multimachine operation scheduling scenarios and optimization methods that affected the efficiency and effect of plant protection UAV were described respectively. With the aim of improving the operation effect and operation efficiency of plant protection drones, the status of plant protection UAVs’ flight control, route planning and scheduling were analyzed. In view of the high accuracy requirements of plant protection UAVs, which led to the contradiction of high manufacturing costs of their flight control systems, the lowcost and highprecision attitude measurement devices were developed which can meet the needs of plant protection UAV operations, and corresponding attitude estimation algorithms were developed. For the situation that the plant protection UAVs route planning, optimal scheduling model did not match the actual operation requirements, the optimization scenarios, constraints and optimization methods of single UAV route planning and multimachine scheduling were summarized. Finally, an automatic replenishment platform for plant protection UAVs was developed, an optimized model for job management and scheduling model were built based on multimachine collaboration, and the reliability of plant protection UAVs in complex operation environments was improved. 

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曹光喬,李亦白,南風,劉東,陳聰,張進龍.植保無人機飛控系統(tǒng)與航線規(guī)劃研究進展分析[J].農業(yè)機械學報,2020,51(8):1-16. CAO Guangqiao, LI Yibai, NAN Feng, LIU Dong, CHEN Cong, ZHANG Jinlong. Development and Analysis of Plant Protection UAV Flight Control System and Route Planning Research[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(8):1-16.

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  • 收稿日期:2020-06-17
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  • 在線發(fā)布日期: 2020-08-10
  • 出版日期: 2020-08-10
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