Control method to prevent malicious UAV intrusion into electricity inspection area

Peng WANG; Xiaolong HAO; Yaokang ZHU; Guang YANG; Yang CUI; Qiwei PENG; Daojing HE

doi:10.11959/j.issn.2096-109x.2018052

您当前的位置：

首页 >

文章列表页 >

Control method to prevent malicious UAV intrusion into electricity inspection area

Papers | 更新时间：2024-06-03

- Control method to prevent malicious UAV intrusion into electricity inspection area
- Chinese Journal of Network and Information Security Vol. 4, Issue 6, Pages: 70-76(2018)
- 作者机构：
  
  1. 南瑞集团公司（国网电力科学研究院），江苏南京 211106
  2. 华东师范大学计算机科学与软件工程学院，上海 200062
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2018052
  CLC： TP309.1
- Online First：2018-06，
  
  Published：15 June 2018
- 稿件说明：
移动端阅览
Peng WANG, Xiaolong HAO, Yaokang ZHU, et al. Control method to prevent malicious UAV intrusion into electricity inspection area[J]. Chinese Journal of Network and Information Security, 2018, 4(6): 70-76.
DOI：

Peng WANG, Xiaolong HAO, Yaokang ZHU, et al. Control method to prevent malicious UAV intrusion into electricity inspection area[J]. Chinese Journal of Network and Information Security, 2018, 4(6): 70-76. DOI： 10.11959/j.issn.2096-109x.2018052.

摘要

在电力巡检工作中，巡检方法逐渐从原先的人工巡检，升级为无人机智能巡检。然而，恶意无人机入侵电力巡检工作区域，会给电厂的生产带来诸多安全问题。针对电子围栏技术在管控恶意无人机时缺乏实时性、灵活性以及管控避障效果差等问题，提出了一种防止恶意无人机入侵电力巡检区的管控方法，并通过实验验证了该方法使电力巡检区对无人机有高效的管控性能。

Abstract

In recent years

the exploitation and deployment of UAV (unmanned aerial vehicle) has grown rapidly.The number of UAV is increasing and it is becoming more and more important in many areas.For example

the power inspection method has be upgraded from the original manual inspection to unmanned intelligent inspection.However

malicious UAV intrude on the power patrol work area and also bring about safety problems to the power plant's production.Because the electronic fence technology (geo-fencing) lacks the real time and flexibility when it controls the UAV

a novel control method to prevent malicious UAV from invading the power inspection area is proposed.The experimental results demonstrate the effectivity of our proposed method.

关键词

Keywords

references

DU B Q , LIU S Z . A common obstacle avoidance module based on fuzzy algorithm for unmanned aerial vehicle [C ] // IEEE International Conference on Cyber Technology in Automation,Control,and Intelligent Systems (CYBER) . 2016 .

ILLE M , NAMERIKAWA T . Collision avoidance between multi-UAV-systems considering formation control using MPC [C ] // IEEE International Conference on Advanced Intelligent Mechatronics . 2017 : 651 - 656 .

GURRIET T , CIARLETTA L . Towards a generic and modular geofencing strategy for civilian UAV [C ] // International Conference on Unmanned Aircraft Systems . 2016 : 540 - 549 .

WANG E , . Identification of flight safety zones for unmanned aerial systems using geo-fencing data provided by prebuilt maps [C ] // The 11th International Microsystems,Packaging,Assembly and Circuits Technology Conference (IMPACT) . 2016 .

QIU Q , CAO L , FANG J Y . Comparative study of parallel point-in-polygon algorithm in dynamic scheduling and static scheduling [J ] . Geography and Geo-Information Science , 2013 .

FARLIK J , KRATKY M , CASAR J , et al . Radar cross section and detection of small unmanned aerial vehicles [C ] // International Conference on Mechatronics- Mechatronika . 2017 .

KLARE J , BIALLAWONS O , CERUTTI-MAORI D . Detection of UAV using the MIMO radar MIRA-CLE Ka [C ] // European Conference on Synthetic Aperture Radar . 2016 .

PENG X Z , LIN H Y , DAI J M . Path planning and obstacle avoidance for vision guided quadrotor UAV navigation [C ] // IEEE International Conference on Control and Automation . 2016 : 984 - 989 .

MOSES A , RUTHERFORD M J , VALAVANIS K P . Radar-based detection and identification for miniature air vehicles [C ] // IEEE International Conference on Control Applications . 2011 : 933 - 940 .

PRATYUSHA P L , NAIDU V P S . Geo-fencing for unmanned aerial vehicle [J ] . International Journal of Computer Applications , 2013 .

BAI G , XIANG X , ZHU H , et al . Research on obstacles avoidance technology for UAV based on improved PTAM algorithm [C ] // IEEE International Conference on Progress in Informatics and Computing . 2016 : 543 - 550 .

ZHANG X L . Key issues in electricity inspection under the new situation [J ] . Heilongjiang Science , 2016 .

CHAUFFAUT C , DEFAY F , BURLION L , et al . UAV obstacle avoidance scheme using an output to input saturation transformation technique [C ] // International Conference on Unmanned Aircraft Systems . 2016 : 227 - 234 .

GAO X J.CHENG X F.ZHI Y . Research on environment and threat model in UAV path planning [J ] . Aeronautical Computing Technique , 2013 .

JAMES T . System safety modeling of alternative geofencing configurations for small UAS [J ] . International Journal of Aviation,Aeronautics,and Aerospace , 2016 .

QUIGLEY M , . ROS:an open-source robot operating system [C ] // IEEE ICRA Workshop on Open Source Robotics . 2009 .

CAO W , XU S . A workflow based multi-UAV cooperation architecture [C ] // International Conference on Information Management . 2017 : 496 - 499 .

SHARMA R , GHOSE D . Swarm intelligence based collision avoidance between realistically modelled UAV clusters [C ] // IEEE American Control Conference . 2007 : 3892 - 3897 .

RIISGARD S . SLAM for dummies-a tutorial approach to simultaneous localization and mapping [J ] . Journal of the Marine Biological Association of the United Kingdom , 2000 ,( 4 ): 699 - 705 .

Views

1610

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰