李睿康, 黄奇伟, 冯辉, 胡波. 崎岖地表上的旋翼无人机自主安全降落系统[J]. 机器人, 2020, 42(4): 416-426. DOI: 10.13973/j.cnki.robot.190646
引用本文: 李睿康, 黄奇伟, 冯辉, 胡波. 崎岖地表上的旋翼无人机自主安全降落系统[J]. 机器人, 2020, 42(4): 416-426. DOI: 10.13973/j.cnki.robot.190646
LI Ruikang, HUANG Qiwei, FENG Hui, HU Bo. Autonomous Safe Landing System of Unmanned Rotorcraft on Rugged Terrain[J]. ROBOT, 2020, 42(4): 416-426. DOI: 10.13973/j.cnki.robot.190646
Citation: LI Ruikang, HUANG Qiwei, FENG Hui, HU Bo. Autonomous Safe Landing System of Unmanned Rotorcraft on Rugged Terrain[J]. ROBOT, 2020, 42(4): 416-426. DOI: 10.13973/j.cnki.robot.190646

崎岖地表上的旋翼无人机自主安全降落系统

Autonomous Safe Landing System of Unmanned Rotorcraft on Rugged Terrain

  • 摘要: 针对旋翼无人机全自主作业的需求,构建了崎岖地表上的旋翼无人机自主安全降落系统.该系统通过机载实时运算自动分析落区地形,寻找可行落点并实施自动降落.系统以低成本的立体RGB-D相机作为深度传感设备,利用截断符号距离函数(TSDF)对着陆区地形进行实时3维建模,生成低噪的落区地形深度图像,并设计了一种适应起落机构形状的实时精细落点搜索方法,最后使用级联PID(比例-积分-微分)控制器控制无人机实施安全降落.系统基于大疆M100无人机平台实现,定制了仿真器进行算法调试,并最终在实际的崎岖地表上实现了自主安全降落.本文工作可为旋翼无人机紧急降落、物流运输或者灾后搜救提供有效安全的解决方案.

     

    Abstract: To meet the demands of fully autonomous operation of unmanned rotorcrafts, an autonomous safe landing system for unmanned rotorcrafts to land on rugged terrain is developed. The proposed system can automatically analyze the terrain of the landing area through onboard real-time calculation, search feasible landing points and then implement autonomous landing. Mounted with a low-cost stereo RGB-D camera for depth sensing and streaming, the system implements real-time 3D terrain reconstruction of landing area and obtains low-noise depth image of the terrain by utilizing a truncated signed distance function (TSDF) based method. A real-time fine search policy is also specifically designed in order to seek out a suitable landing location according to the shape of the landing gear. Finally, the safe landing of the unmanned rotorcraft is completed by a cascaded PID (proportional-integral-differential) controller. Based on the DJI Matrice 100 quadcopter, the autonomous and safe landing is achieved not only in a customized simulator for algorithm evaluation, but also in a realistic rugged terrain situation. With further optimization, this work can provide safe and effective solutions for unmanned rotorcrafts in emergency landing, delivery and post-disaster rescue.

     

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