植保无人机飞控系统与航线规划研究进展分析
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国家重点研发计划项目(2017YFD0700601-2)、中国农业科学院科技创新工程项目(农科院办(2014)216号)和中央级公益性科研院所基本科研业务费专项资金项目(S202010、S202021)


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

    应用无人机开展植保作业是有效防治病虫害的重要途径。本文对植保无人机行业发展和相关应用研究进行了综述,分别从植保无人机飞控系统、单机作业航线规划、多机作业调度场景及优化方法3个角度进行了阐述,以增强植保无人机作业效果与提高作业效率为目标,分析了植保无人机飞行控制系统及航线规划与调度的研究现状。针对植保无人机因作业精度要求高而导致其飞控系统制造成本高的问题,提出应研发低成本、高精度、可适应植保无人机作业需求的测姿器件,开发相应的姿态估计算法;针对植保无人机航线规划、优化调度模型与实际作业需求不匹配的情况,总结了单机作业航线规划与多机调度优化场景、约束条件与优化方法。最后,提出应研发植保无人机自动补给平台,构建基于多机协同的作业管理与调度优化模型,以增强植保无人机在复杂作业环境中的作业效果,提高作业效率。

    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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曹光乔,李亦白,南风,刘东,陈聪,张进龙.植保无人机飞控系统与航线规划研究进展分析[J].农业机械学报,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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  • 在线发布日期: 2020-08-10
  • 出版日期: 2020-08-10