Flight Demonstration of Unmanned Airplane for Radiation Monitoring System with Preview Path-Tracking Controller

被引:0
|
作者
Sato, Masayuki [1 ]
Muraoka, Koji [1 ]
Hozumi, Koki [1 ]
Sanada, Yukihisa [2 ]
Yamada, Tsutomu [2 ]
Torii, Tatsuo [3 ]
机构
[1] Japan Aerosp Explo Ration Agcy, Aeronaut Technol Directorate, Tokyo 1810015, Japan
[2] Japan Atom Energy Agcy, Sector Fukushima Res & Dev, Fukushima 9750036, Japan
[3] Japan Atom Energy Agcy, Sector Fukushima Res & Dev, Chiyoda Ku, Fukushima 9750036, Japan
关键词
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 2011, Fukushima Dai-ichi nuclear power plant received a severe damage from the Great East Japan Earthquake, and spread massive radioactive contaminants. Due to this tragedy, the necessity of unmanned radiation monitoring system has been increasing in Japan. Therefore, Japan Aerospace Exploration Agency (JAXA) and Japan Atomic Energy Agency (JAEA) have been jointly developing Unmanned Airplane for Radiation Monitoring System, in short UARMS, as one of such systems. The basic flight controller of UARMS was designed and the usefulness of UARMS has already been well illustrated by demonstration flight in Fukushima; however path-tracking controller has been required for precise monitoring because radiation monitoring is planned to be conducted not only in town areas but also in mountain areas. To this end, the path-tracking controller is designed as a preview controller with its gains being optimized off-line by using multiple model approach for robust control performance. Demonstration flight was conducted in Fukushima to confirm the integrity of the designed preview path-tracking controller.
引用
收藏
页码:6735 / 6740
页数:6
相关论文
共 50 条
  • [31] Path-tracking Control of Quadrotor Using Adaptive Critic-based Neurofuzzy Controller
    Ramezani, Mohammad Sajad
    Ajami, Sahand
    Ghafarirad, Hamed
    2021 9TH RSI INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM), 2021, : 248 - 254
  • [32] Integrated Flight Path Planning System and Flight Control System for Unmanned Helicopters
    Jan, Shau-Shiun
    Lin, Yu-Hsiang
    SENSORS, 2011, 11 (08) : 7502 - 7529
  • [33] Multirate LQG controller applied to self-location and path-tracking in mobile robots
    Tornero, J
    Pizá, R
    Albertos, P
    Salt, J
    IROS 2001: PROCEEDINGS OF THE 2001 IEEE/RJS INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4: EXPANDING THE SOCIETAL ROLE OF ROBOTICS IN THE NEXT MILLENNIUM, 2001, : 625 - 630
  • [34] A Smith-predictor-based generalised predictive controller for mobile robot path-tracking
    Normey-Rico, JE
    Gómez-Ortega, J
    Camacho, EF
    CONTROL ENGINEERING PRACTICE, 1999, 7 (06) : 729 - 740
  • [35] Path-tracking controller of a bi-steerable cybernetic car using fuzzy logic
    Bento, LC
    Nunes, U
    Mendes, A
    Parent, M
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS 2003, VOL 1-3, 2003, : 1556 - 1561
  • [36] Path-Tracking Control of Soft-Target Vehicle Test System Based on Compensation Weight Coefficient Matrix and Adaptive Preview Time
    Li, Wenli
    Feng, Kun
    Zhai, Jingxiang
    Wang, Kan
    Zhang, Zhiyong
    SAE INTERNATIONAL JOURNAL OF CONNECTED AND AUTOMATED VEHICLES, 2024, 7 (03):
  • [37] Path-tracking controller with an anti-collision behaviour of a bi-steerable cybernetic car
    Mendes, A
    Bento, LC
    Nunes, U
    ETFA 2003: IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOL 1, PROCEEDINGS, 2003, : 613 - 619
  • [38] Design of Coordinated Path Tracking Controller for Underactuated Multiple Unmanned Ships
    Wang, Yiyang
    Zhang, Yi
    Wang, Chenqi
    2024 3RD CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, FASTA 2024, 2024, : 279 - 283
  • [39] A Non-Time Based Controller for Load Swing Damping and Path-Tracking in Robotic Cranes
    Boschetti, G.
    Caracciolo, R.
    Richiedei, D.
    Trevisani, A.
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2014, 76 (02) : 201 - 217
  • [40] A Non-Time Based Controller for Load Swing Damping and Path-Tracking in Robotic Cranes
    G. Boschetti
    R. Caracciolo
    D. Richiedei
    A. Trevisani
    Journal of Intelligent & Robotic Systems, 2014, 76 : 201 - 217