Reconfiguration Strategy for a Heavy Mobile Robot with Multiple Steering Configurations

被引:1
|
作者
Kumar, Pushpendra [1 ]
Bensekrane, Ismail [2 ]
Lakhal, Othman [3 ]
Merzouki, Rochdi [3 ]
机构
[1] Graph Era Univ, Dept Mech Engn, Dehra Dun, Uttarakhand, India
[2] Ecole Super Ali Chabati, Algiers, Algeria
[3] Univ Lille, Polytech Lille, Lab CRIStAL UMR CNRS 9189, F-59655 Villeneuve Dascq, France
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
关键词
Mobile robot; Dynamics; Bond graph; FDI; Reconfiguration; BOND GRAPH;
D O I
10.1016/j.ifacol.2020.12.2651
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A redundant robot can complete a given task even in a faulty situation using its alternative configurations. This paper presents a reconfiguration strategy for a redundant heavy mobile robot called Robutainer. It is a four wheeled mobile robot, which is used to transport 40 feet container in port terminals. Robutainer has redundant steering actuations for the front and rear sides, due to this redundancy, it shows four steering configurations namely, dual, front, rear, and skid. Thus, Robutainer can reconfigure between its four steering configurations when subjected to a fault in the steering system. But, it is necessary to detect and isolate a fault in the steering system; subsequently, the robot can be reconfigured according to the available steering configurations. The steering system of Robutainer is a complex multi-domain system with hybrid dynamics. In this work, a graphical modeling approach Bond Graph (BG) is used to develop the fault detection and isolation (FDI) model of the steering system considering its multi-domain components including electric motor, pump, accumulator, hydraulic motor, and transmission; moreover, discrete dynamics of distributor valves are included. Finally, a reconfiguration strategy is developed in order to reconfigure the system according to faults in the components of the steering system. The developed algorithm is verified through simulation in Matlab/Simulink with different components faults, and the experimental data of the robot tracking with four steering configurations is used to develop the reconfiguration strategy. Copyright (C) 2020 The Authors.
引用
收藏
页码:9760 / 9765
页数:6
相关论文
共 50 条
  • [41] Investigating Reduced Path Planning Strategy for Differential Wheeled Mobile Robot
    Fareh, Raouf
    Baziyad, Mohammed
    Rahman, Mohammad
    Rabie, Tamer
    Bettayeb, Maamar
    ROBOTICA, 2020, 38 (02) : 235 - 255
  • [42] Control strategy toward mobile robot based on driven configuration matrix
    Xu, He
    Marie, B. S.
    Wei, Ran
    IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11, 2006, : 1785 - +
  • [43] A hybrid autonomous teleoperated strategy for ReHable mobile robot outdoor navigation
    Kim, Seung-Hun
    Roh, Chi-Won
    Kang, Sung-Chul
    Park, Min-Yong
    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 741 - +
  • [44] Path Planning Strategy for Mobile Robot Navigation Using MANFIS Controller
    Mohanty, Prases Kumar
    Parhi, Dayal R.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2013, 2014, 247 : 353 - 361
  • [45] Gap identification strategy for mobile robot navigation in static and dynamic environments
    Ayedi D.
    Boujelben M.
    Rekik C.
    International Journal of Modelling, Identification and Control, 2020, 35 (01): : 40 - 50
  • [46] Real-time Compensation Strategy of Mobile Robot Positioning Accuracy
    Yang J.
    Yue Y.
    Zhang J.
    Zhou Y.
    Zhao C.
    Chen Q.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2022, 58 (14): : 44 - 53
  • [47] Dynamic Advantages of Singular Configurations in Moving Heavy Objects with a 3-DOF Robot Manipulator
    Kawanishi, Ryohei
    Urakubo, Takateru
    Wan, Xianglong
    2018 IEEE 15TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL (AMC), 2018, : 47 - 53
  • [48] BP Neural Network Based Localization for a Front-Wheel Drive and Differential Steering Mobile Robot
    Jia, Shiwei
    Qiu, Quan
    Li, Junmin
    Li, You
    Cong, Yue
    2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2015, : 2270 - 2274
  • [49] An improvement to the conventional PD scheme for the speed control of a two-wheeled differential steering mobile robot
    Deshmukh R.A.
    Hasamnis M.A.
    International Journal of Information Technology, 2023, 15 (6) : 3093 - 3101
  • [50] Design and Implementation of Trajectory Tracking Motion in Mobile Robot Skid Steering Using Model Predictive Control
    Saputro, Joko Slamet
    Rusmin, Pranoto H.
    Rochman, Arief Syaichu
    2018 IEEE 8TH INTERNATIONAL CONFERENCE ON SYSTEM ENGINEERING AND TECHNOLOGY (ICSET), 2018, : 73 - 78