灾情侦测无人机动态航迹规划算法设计

秦玉鑫; 陈宇; 乔恒恒; 车子琪; 张公平

doi:10.3788/IRLA201948.1026003

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灾情侦测无人机动态航迹规划算法设计

秦玉鑫, 陈宇, 乔恒恒, 车子琪, 张公平

文章导航 > 红外与激光工程 > 2019 > 48(10): 1026003-1026003(6)

秦玉鑫, 陈宇, 乔恒恒, 车子琪, 张公平. 灾情侦测无人机动态航迹规划算法设计[J]. 红外与激光工程, 2019, 48(10): 1026003-1026003(6). doi: 10.3788/IRLA201948.1026003

引用本文:

秦玉鑫, 陈宇, 乔恒恒, 车子琪, 张公平. 灾情侦测无人机动态航迹规划算法设计[J]. 红外与激光工程, 2019, 48(10): 1026003-1026003(6). doi: 10.3788/IRLA201948.1026003

Qin Yuxin, Chen Yu, Qiao Hengheng, Che Ziqi, Zhang Gongping. Design of dynamic track planning algorithm for disaster detection UAV[J]. Infrared and Laser Engineering, 2019, 48(10): 1026003-1026003(6). doi: 10.3788/IRLA201948.1026003

Citation:

Qin Yuxin, Chen Yu, Qiao Hengheng, Che Ziqi, Zhang Gongping. Design of dynamic track planning algorithm for disaster detection UAV[J]. Infrared and Laser Engineering, 2019, 48(10): 1026003-1026003(6). doi: 10.3788/IRLA201948.1026003

灾情侦测无人机动态航迹规划算法设计

doi: 10.3788/IRLA201948.1026003

1.
郑州航空工业管理学院智能工程学院,河南郑州 450046;
2.
中国空空导弹研究院,河南洛阳 471099;
3.
航空制导武器航空科技重点实验室,河南洛阳 471099

基金项目:

航空科学基金项目（20170155001）;河南省科技攻关项目（182102210111）

详细信息

作者简介:
秦玉鑫(1984-),男,讲师,硕士生导师,博士,主要从事无人机自主导航方面的研究。Email:qyx0615@163.com

中图分类号: T301.6

Design of dynamic track planning algorithm for disaster detection UAV

1.
School of Intelligent Engineering,Zhengzhou University of Aeronautics,Zhengzhou 450046,China;
2.
China Airborna Missile Academy,Luoyang 471099,China;
3.
Aviation Key Laboratory of Science and Technology on Airborne Guided Weapons,Luoyang 471099,China

摘要: 提出了一种应用于灾情侦测无人机的动态航迹规划算法。当突发地震、洪水等重大灾害时，可第一时间获取灾情环境信息，并利用无人机携带侦测设备对灾害现场信息、图像进行探测和实时传送。提出了一种基于文化算法框架下的动态航迹规划算法，首先针对环境中的不同地形进行模型构建，对丘陵、山峰等障碍物设计相应的函数模型，构建数字地图，在该地图模型上进行动态航迹规划，该航迹规划算法可使无人机在飞行过程中自主规划航迹，实现超低空飞行，使信息采集更准确，有效的辅助救援策略的制定。通过仿真验证，并与多种算法进行比较，证明了该算法的可行性与有效性。
- 灾情侦测 /
- 无人机 /
- 航迹规划 /
- 动态
Abstract: A dynamic track planning algorithm for disaster detection UAVs was proposed. When a major disaster such as an earthquake or flood, in order to obtain the disaster environment information for the first time, the UAV portable detection device can be used to detect the disaster ready information and images, and the information can be transmitted in real time. A dynamic track planning algorithm based on the framework of cultural algorithm was proposed. Firstly, the model was constructed for different terrains in the environment, and the corresponding function model was designed for obstacles such as mountains and peaks, and a digital map was constructed. The dynamic track planning was performed on the map model. The flight path planning algorithm can make the UAV independently plan the flight path during the flight process, realize ultra-low altitude flight, make the information collection more accurate, and effectively assist the rescue strategy. It was proved that the feasibility and effectiveness of the algorithm were verified by simulation and comparison with various algorithms.
- disaster detection /
- UAV /
- track planning /
- dynamic

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灾情侦测无人机动态航迹规划算法设计

doi: 10.3788/IRLA201948.1026003

1. 郑州航空工业管理学院智能工程学院,河南郑州 450046;

2. 中国空空导弹研究院,河南洛阳 471099;

3. 航空制导武器航空科技重点实验室,河南洛阳 471099

作者简介:
秦玉鑫(1984-),男,讲师,硕士生导师,博士,主要从事无人机自主导航方面的研究。Email:qyx0615@163.com

收稿日期: 2019-06-11
修回日期: 2019-07-21
刊出日期: 2019-10-25

基金项目:

航空科学基金项目（20170155001）;河南省科技攻关项目（182102210111）

中图分类号: T301.6

关键词:

摘要: 提出了一种应用于灾情侦测无人机的动态航迹规划算法。当突发地震、洪水等重大灾害时，可第一时间获取灾情环境信息，并利用无人机携带侦测设备对灾害现场信息、图像进行探测和实时传送。提出了一种基于文化算法框架下的动态航迹规划算法，首先针对环境中的不同地形进行模型构建，对丘陵、山峰等障碍物设计相应的函数模型，构建数字地图，在该地图模型上进行动态航迹规划，该航迹规划算法可使无人机在飞行过程中自主规划航迹，实现超低空飞行，使信息采集更准确，有效的辅助救援策略的制定。通过仿真验证，并与多种算法进行比较，证明了该算法的可行性与有效性。

English Abstract

Design of dynamic track planning algorithm for disaster detection UAV

1. School of Intelligent Engineering,Zhengzhou University of Aeronautics,Zhengzhou 450046,China;

2. China Airborna Missile Academy,Luoyang 471099,China;

3. Aviation Key Laboratory of Science and Technology on Airborne Guided Weapons,Luoyang 471099,China

Received Date: 2019-06-11
Rev Recd Date: 2019-07-21
Publish Date: 2019-10-25

Keywords:

Abstract: A dynamic track planning algorithm for disaster detection UAVs was proposed. When a major disaster such as an earthquake or flood, in order to obtain the disaster environment information for the first time, the UAV portable detection device can be used to detect the disaster ready information and images, and the information can be transmitted in real time. A dynamic track planning algorithm based on the framework of cultural algorithm was proposed. Firstly, the model was constructed for different terrains in the environment, and the corresponding function model was designed for obstacles such as mountains and peaks, and a digital map was constructed. The dynamic track planning was performed on the map model. The flight path planning algorithm can make the UAV independently plan the flight path during the flight process, realize ultra-low altitude flight, make the information collection more accurate, and effectively assist the rescue strategy. It was proved that the feasibility and effectiveness of the algorithm were verified by simulation and comparison with various algorithms.