Research on the drone endoscopic system for fusion reactors

被引:0
作者
Cheng, Yong [1 ,2 ]
Xu, Youzhi [3 ]
Liu, Shijie [1 ,2 ]
Zheng, Lei [1 ,3 ]
Zuo, Congju [1 ,4 ]
Ji, Aihong [3 ]
Qin, Guodong [1 ]
机构
[1] Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Peoples R China
[2] Univ Sci & Technol China, Sci Isl Branch, Grad Sch, Hefei 230031, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Lab Locomot Bioinspirat & Intelligent Robots, Nanjing 210016, Peoples R China
[4] Army Acad Artillery & Air Def, Dept Informat Engn, Hefei 230031, Peoples R China
基金
中国国家自然科学基金;
关键词
Fusion reactor; Inspection drones; Endoscopic system; Air-ground separation; Special environment application; INSPECTION;
D O I
10.1016/j.fusengdes.2024.114492
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
This paper proposes an air-ground separation drone endoscopic system (DES) design scheme for the fusion reactor internal inspection task. A foldable rotor drone with vertical takeoff and landing capability is used as the main body of DES. The nest platform is designed separately from the drone to reduce the weight. Meanwhile, the nest platform can be installed with a safety cable and 2D code to realize emergency rescue and precise take-off and landing. DES adds 3D lidar sensors for 360 degrees stereo sensing, realizing real-time positioning in dark or even lightless environments in vacuum chambers. The first-generation DES prototype is developed, and the flight test is performed inside the PF6 superconducting coil shell by fusing 3D lidar point cloud data with visual camera image data. The results show that the position error of DES is stabilized within +/- 0.05 m during the hovering phase. The error is mainly due to the narrow space inside the PF6 coil shell, which produces a perturbed flow field on the DES. In general, the DES accomplished circumferential autonomous flight control and 3D point cloud data acquisition in a confined space, proving the feasibility of drone inspection in vacuum chambers.
引用
收藏
页数:7
相关论文
共 25 条
[1]  
Balamurugan G., 2016, 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), P198, DOI 10.1109/SCOPES.2016.7955787
[2]  
Chen Long, 2012, International Journal of Soft Computing and Software Engineering, V2, P26, DOI 10.7321/jscse.v2.n4.3
[3]   PILOT: High-Precision Indoor Localization for Autonomous Drones [J].
Famili, Alireza ;
Stavrou, Angelos ;
Wang, Haining ;
Park, Jung-Min .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (05) :6445-6459
[4]   Operation of an ITER relevant inspection robot on Tore Supra tokamak [J].
Gargiulo, Laurent ;
Bayetti, Pascal ;
Bruno, Vincent ;
Hatchressian, Jean-Claude ;
Hernandez, Caroline ;
Houry, Michael ;
Keller, Delphine ;
Martins, Jean-Pierre ;
Measson, Yvan ;
Perrot, Yann ;
Samaille, Frank .
FUSION ENGINEERING AND DESIGN, 2009, 84 (2-6) :220-223
[5]   Integrated design of tokamak building concepts including ex-vessel maintenance [J].
Gliss, C. ;
Bachmann, C. ;
Drumm, B. ;
Ciattaglia, S. ;
Moscato, I. ;
Mull, T. ;
Palermo, I. .
FUSION ENGINEERING AND DESIGN, 2022, 177
[6]   A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance [J].
Goerzen, C. ;
Kong, Z. ;
Mettler, B. .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2010, 57 (1-4) :65-100
[7]   Dynamic Pose EstimationUsingMultiple RGB-DCameras [J].
Hong, Sungjin ;
Kim, Yejin .
SENSORS, 2018, 18 (11)
[8]   Aerial inspection of overhead power lines using video: estimation of image blurring due to vehicle and camera motion [J].
Jones, DI .
IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 2000, 147 (02) :157-166
[9]   A laboratory test-bed for an automated power line inspection system [J].
Jones, DI ;
Whitworth, CC ;
Earp, GK ;
Duller, AWG .
CONTROL ENGINEERING PRACTICE, 2005, 13 (07) :835-851
[10]   A Probabilistically Robust Path Planning Algorithm for UAVs Using Rapidly-Exploring Random Trees [J].
Kothari, Mangal ;
Postlethwaite, Ian .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2013, 71 (02) :231-253