Adaptive Sliding Mode Control Using Radial Basis Function Network for Container Cranes

被引：0
|
作者：
Ngo Phong Nguyen [1 ]
Quang Hieu Ngo [2 ]
Chi Ngon Nguyen [3 ]
机构：
[1] Can Tho Univ Technol, Coll Mech Engn, Can Tho, Vietnam
[2] Can Tho Univ, Dept Mech Engn, Can Tho, Vietnam
[3] Can Tho Univ, Dept Automat Technol, Can Tho, Vietnam
来源：
2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2017年
关键词：
container cranes; anti-sway control; adaptive sliding mode control; radial basis function network;
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：
An adaptive sliding mode control scheme using radial basis function network (RBFN) for container cranes is investigated in this study. Here, a sliding surface is designed in such a way that sway motion of the payload is incorporated into the trolley dynamics. In addition, to relax the requirement of mathematical model in the design of a traditional sliding mode control (SMC) system, a neural network compensator, obtained by a radial basis function network and an adaption law, which approximates the nonlinear functions in the traditional SMC control law. This control scheme guarantees the asymptotic stability of the closed-loop system based on Lyapunov theory. To illustrate the efficiency of proposed control strategy, simulation results are provided.
引用
收藏
页码：1628 / 1633
页数：6
相关论文
共 50 条
  • [21] Adaptive Integral Sliding Mode Control Based Radial Basis Function Network for Bidirectional Isolated Dual Active Bridge Converter
    Sun, Jiahao
    Qiu, Lin
    Liu, Xing
    Fang, Youtong
    2020 23RD INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2020, : 1312 - 1316
  • [22] Adaptive Dynamic Sliding Mode Control for Overhead Cranes
    Xu Weimin
    Zheng Xiang
    Liu Yuqiang
    Zhang Mengjie
    Luo Yuyang
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 3287 - 3292
  • [23] Adaptive Twisting Sliding Mode Control for Overhead Cranes
    Xu, Weimin
    Xu, Yue
    Zheng, Xiang
    2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015, : 1379 - 1384
  • [24] Adaptive PID sliding mode control based on new Quasi-sliding mode and radial basis function neural network for Omni-directional mobile robot
    Pham T.T.
    Nguyen C.-N.
    AIMS Electronics and Electrical Engineering, 2023, 7 (02): : 121 - 134
  • [25] Second-order sliding-mode control of container cranes
    Bartolini, G
    Pisano, A
    Usai, E
    AUTOMATICA, 2002, 38 (10) : 1783 - 1790
  • [26] Radial basis function neural network-based adaptive sliding mode suspension control for maglev yaw system of wind turbines
    Cui, Guodong
    Cai, Bin
    Su, Baili
    Chu, Xiaoguang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2022, 236 (01) : 66 - 75
  • [27] Development of an adaptive radial basis function neural network estimator-based continuous sliding mode control for uncertain nonlinear systems
    Moawad, Nada M.
    Elawady, Wael M.
    Sarhan, Amany M.
    ISA TRANSACTIONS, 2019, 87 : 200 - 216
  • [28] Adaptive Fast Terminal Sliding Mode Control Based on Radial Basis Function Neural Network for Speed Tracking of Switched Reluctance Motor
    Sheng, Linhao
    Wang, Guofeng
    Fan, Yunsheng
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2023, 18 (01) : 91 - 104
  • [29] Radial Basis Function Neural Network Sliding Mode Control with Improved Convergence Law for Robotic Manipulator
    Huang, Nan
    Zhao, Guangyuan
    2024 9TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS, ICCCS 2024, 2024, : 564 - 568
  • [30] Sliding mode control of ship course nonlinear system based on radial basis function network adjustment
    Xiao, Hai-Rong
    Li, Yi-Bin
    Zhou, Feng-Yu
    Han, Yao-Zhen
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2011, 42 (SUPPL. 1): : 17 - 22
12345