Research on Coordinated Control for the Floating Body and Mining Robot

被引:0
作者
Feng, Yingbin [1 ]
Li, Zhigang [1 ]
He, Zhen [1 ]
Wang, Xiaohui [1 ]
Zhang, Qifeng [1 ]
机构
[1] Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Peoples R China
来源
OCEANS 2016 MTS/IEEE MONTEREY | 2016年
关键词
mining robot; UKF; potential energy function; LaSalle's invariance principle;
D O I
10.1109/OCEANS.2016.7761107
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The mining robot, which has a large size and weight, is easy to slip and sink during the mining process. For this problem, we propose hydraulic station suspension technology in this paper. By using the technology, the hydraulic station is separated from the mining robot and designed as an independent floating body, which is helpful for increasing the travelling capability of mining robot. The relative position between the floating body and mining robot can be obtained by UKF. Based on this, we study a coordinated control algorithm for the floating body and mining robot in this paper. The coordinate motion controller, whose convergence is proved by LaSalle's invariance principle, is designed according to the potential energy function of the floating body and mining robot. The algorithm is tested by using MATLAB. The results show that the coordination control algorithm can maintain the relative positions between the floating body and mining robot and make them do coordinate motion, which can be free from the effect of ocean current.
引用
收藏
页数:4
相关论文
共 14 条
  • [1] Bian H W, 2005, J SYSTEMS ENG ELECT, V17, P502
  • [2] Guo J, 2010, P AMER CONTR CONF, P6822
  • [3] Han Y J., 2014, SLIP PATH TRACKING C
  • [4] Uniform stability of switched linear systems: Extensions of LaSalle's invariance principle
    Hespanha, JP
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2004, 49 (04) : 470 - 482
  • [5] Larry B, 2002, IEEE T IND APPL, V30, P1321
  • [6] Adaptive extended Kalman filtering for visual motion estimation of 3D objects
    Lippiello, Vincenzo
    Siciliano, Bruno
    Villani, Luigi
    [J]. CONTROL ENGINEERING PRACTICE, 2007, 15 (01) : 123 - 134
  • [7] Status and progress on researches and developments of deep ocean mining equipments
    Liu, Shaojun
    Liu, Chang
    Dai, Yu
    [J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2014, 50 (02): : 8 - 18
  • [8] UKF Based Nonlinear Filtering Using Minimum Entropy Criterion
    Liu, Yu
    Wang, Hong
    Hou, Chaohuan
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (20) : 4988 - 4999
  • [9] Modified state prediction algorithm based on UKF
    Luo, Zhen
    Fang, Huajing
    [J]. JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2013, 24 (01) : 135 - 140
  • [10] Wang Zhen-yu, 2004, Journal of System Simulation, V16, P644