Novel Virtual Training System for Learning the Sway Suppression of Rotary Crane by Presenting Joystick Motion or Visual Information

被引:2
|
作者
Sasaki, Tsuyoshi [1 ]
Fushimi, Shoma [1 ]
Nyioh, Yong Jian [1 ]
Terashima, Kazuhiko [1 ]
机构
[1] Toyohashi Univ Technol, Dept Mech Engn, Syst & Control Lab, Tempaku Ku, Toyohashi, Aichi, Japan
来源
INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS | 2015年 / 325卷
关键词
Rotary crane; Oscillations; Human-machine interface; Virtual reality; Teaching;
D O I
10.1007/978-3-319-10891-9_13
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, we propose a novel virtual training system capable of shortening the training period of unskilled crane operators. First, a simulator representing the motion behavior of load and boom during transfer operation in crane's cockpit is newly built. Second, referring to such the sway suppression skill taught in crane driving school, sway suppression control input is theoretically derived. Thirdly, a learning support method with ideal operation of joystick motion or visual sensory information to facilitate acquisition of the sway-suppression skill for unskilled operators is proposed. Finally, a lot of experiments were performed to validate the effectiveness of the proposed learning support method.
引用
收藏
页码:233 / 247
页数:15
相关论文
共 3 条
  • [1] Simple rotary crane dynamics modeling and open-loop control for residual load sway suppression by only horizontal boom motion
    Uchiyama, Naoki
    Ouyang, Huimin
    Sano, Shigenori
    MECHATRONICS, 2013, 23 (08) : 1223 - 1236
  • [2] Using affective human-machine interface to increase the operation performance in virtual construction crane training system: A novel approach
    Rezazadeh, Iman Mohammad
    Wang, Xiangyu
    Firoozabadi, Mohammad
    Golpayegani, Mohammad Reza Hashemi
    AUTOMATION IN CONSTRUCTION, 2011, 20 (03) : 289 - 298
  • [3] The Introduction of a Novel Virtual Reality Training System for Gynecology Learning and Its User Experience Research
    Chang, Chen-Wei
    Yeh, Shih-Ching
    Li, Mengtong
    Yao, Eason
    IEEE ACCESS, 2019, 7 : 43637 - 43653