Indoor Flying Robot Control and 3D Indoor Localization System

被引:0
|
作者
Cho, Kuk [1 ]
Shin, JinOk [2 ]
Kang, Min-Sung [2 ]
Shon, WoongHee [2 ]
Park, Sangdeok [2 ]
机构
[1] Univ Sci & Technol, Intelligent Robot Engn, 113 Gwahangno Yuseong, Taejon, South Korea
[2] Korea Inst Ind Technol, Div Appl Robot Technol, Ansan 127118, South Korea
关键词
localization; indoor flying robot; control; newton-raphson; ultrasonic; RF; UAV;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a 3D localization method for an indoor flying robot using an Ultrasonic Positioning System (UPS) is described. The high performance localization systems for an indoor flying robot have high-end prices. Therefore, the main objective of this study was to develop a low cost and high performance indoor localization system. In the localization method, the pseudoranges are measured from TDOA (Time Difference of Arrival) which is the difference between RF synchronization and ultrasonic signal arrival times. The algorithm for estimating the robot's position was used to a multi-dimensional newton-raphson method and error-reduction algorithm called a sigma cutting method. The flying robot, a co-axial type of rotary-wing aircrafts, was controlled by PID theory and reduced noise with a butterworth filter. The effectiveness of the described method was evaluated through the hovering control with the flying robot, and the performance of the UPS had been also verified with the experimental results.
引用
收藏
页码:524 / +
页数:3
相关论文
共 50 条
  • [31] Mobile robot self-localization in complex indoor environments using monocular vision and 3D model
    Kitanov, Andreja
    Bisevac, Sanjin
    Petrovic, Ivan
    2007 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1-3, 2007, : 963 - 968
  • [32] Surfel-based indoor real time localization and mapping method using 3D lidar for robot
    Liu J.
    Tang X.
    Jia X.
    Xu W.
    Li T.
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2020, 41 (07): : 99 - 106
  • [33] Estimation and Control of the 3D Position of a Quadrotor in Indoor Environments
    Santana, Lucas Vago
    Sarcinelli-Filho, Mario
    Carelli, Ricardo
    2013 16TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS (ICAR), 2013,
  • [34] An Efficient Magnetic Localization System For Indoor Planar Mobile Robot
    Hu Chao
    Feng Zhongqing
    Ren Yupeng
    Chen Yueyue
    Lin Haixiang
    Wang Kai
    Xu Xiaodong
    Bao Jianmeng
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 4899 - 4904
  • [35] Indoor Robot localization using Adaptive Omnidirectional Vision System
    Goh, Minsoo
    Lee, Sangmin
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2010, 10 (04): : 66 - 70
  • [36] Development of an Ultrasound Based Tracking System for Indoor Robot Localization
    Nagy, Csaba
    Biro-Ambrus, Zalan
    Marton, Lorinc
    MACRO 2015: PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON RECENT ACHIEVEMENTS IN MECHATRONICS, AUTOMATION, COMPUTER SCIENCES AND ROBOTICS, 2015, : 155 - 162
  • [37] Mobile robot localization in indoor environment
    Dulimarta, HS
    Jain, AK
    PATTERN RECOGNITION, 1997, 30 (01) : 99 - 111
  • [38] Infrared reflection system for indoor 3D tracking of fish
    Pautsina, Aliaksandr
    Cisar, Petr
    Stys, Dalibor
    Terjesen, Bendik Fyhn
    Espmark, Asa Maria O.
    AQUACULTURAL ENGINEERING, 2015, 69 : 7 - 17
  • [39] Indoor Characterization of a Reflective Type 3D LCPV System
    Baig, Hasan
    Montecucco, Andrea
    Siviter, Jonathan
    Li, Wenguang
    Paul, Manosh
    Sweet, Tracy
    Gao, Min
    Mullen, Paul A.
    Marai, Elena Ana
    Knox, Andrew R.
    Mallick, Tapas
    12TH INTERNATIONAL CONFERENCE ON CONCENTRATOR PHOTOVOLTAIC SYSTEMS (CPV-12), 2016, 1766
  • [40] Research On Multiple Gait and 3D Indoor Positioning System
    Wang, Rongxin
    Zheng, Lingxiang
    Wu, Dihong
    Peng, Ao
    Tang, Biyu
    Lu, Hai
    Shi, Haibin
    Zheng, Huiru
    2017 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2017,