Research on UAV Intelligent Obstacle Avoidance Technology During Inspection of Transmission Line

被引：0

作者：

Wei Chuanhu ^{[1
,2
]}

Zhang Fei ^{[1
,2
]}

Yin Chaoyuan ^{[1
,2
]}

Liu Yue ^{[1
,2
]}

Liu Liang ^{[1
,2
]}

Li Zongyu ^{[1
,2
]}

Wang Wanguo ^{[1
,2
]}

机构：

[1] Shandong Elect Power Res Inst, Elect Power Robot Lab, SGCC, Jinan, Shandong, Peoples R China

[2] Shandong Luneng Intelligence Technol Co Ltd, Jinan, Shandong, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED MECHANICS, MECHATRONICS AND INTELLIGENT SYSTEMS (AMMIS2015) | 2016年

关键词：

UAV; Transmission Line; Inspection; Obstacle Avoidance;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Autonomous obstacle avoidance of unmanned aerial vehicle (hereinafter referred to as UAV) in electric power line inspection process has important significance for operation safety and economy for UAV intelligent inspection system of transmission line as main content of UAV intelligent inspection system on transmission line. In the paper, principles of UAV inspection obstacle avoidance technology of transmission line are introduced. UAV inspection obstacle avoidance technology based on particle swarm global optimization algorithm is proposed after common obstacle avoidance technologies are studied. Stimulation comparison is implemented with traditional UAV inspection obstacle avoidance technology which adopts artificial potential field method. Results show that UAV inspection strategy of particle swarm optimization algorithm, adopted in the paper, is prominently better than UAV inspection strategy of artificial potential field method in the aspects of obstacle avoidance effect and the ability of returning to preset inspection track after passing through the obstacle. An effective method is provided for UAV inspection obstacle avoidance of transmission line.

引用

页码：319 / 327

页数：9

共 9 条

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