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
  • [1] Adaptive sliding mode control of container cranes
    Ngo, Q. H.
    Hong, K. -S.
    IET CONTROL THEORY AND APPLICATIONS, 2012, 6 (05): : 662 - 668
  • [2] Adaptive neural network sliding mode control of shipboard container cranes considering actuator backlash
    Le Anh Tuan
    Hoang Manh Cuong
    Pham Van Trieu
    Luong Cong Nho
    Vu Duc Thuan
    Le Viet Anh
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 112 : 233 - 250
  • [3] Neural network integrated sliding mode control of floating container cranes
    Pham Van Trieu
    Do Duc Luu
    Hoang Manh Cuong
    Le Anh Tuan
    2017 11TH ASIAN CONTROL CONFERENCE (ASCC), 2017, : 847 - 852
  • [4] Fuzzy Sliding Mode Control of Container Cranes
    Ngo, Quang Hieu
    Ngo Phong Nguyen
    Chi Ngon Nguyen
    Thanh Hung Tran
    Hong, Keum-Shik
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2015, 13 (02) : 419 - 425
  • [5] Fuzzy sliding mode control of container cranes
    Quang Hieu Ngo
    Ngo Phong Nguyen
    Chi Ngon Nguyen
    Thanh Hung Tran
    Keum-Shik Hong
    International Journal of Control, Automation and Systems, 2015, 13 : 419 - 425
  • [6] Adaptive sliding mode control of petrochemical flare combustion process based on radial basis function network
    Jiahui Liu
    Nan Guo
    Yixin Peng
    Wenlu Li
    Junfei Qiao
    Xiaolong Gao
    Wei Xiong
    Chinese Journal of Chemical Engineering, 2024, 76 (12) : 318 - 326
  • [7] A High Order Sliding Mode Control Scheme Based on Adaptive Radial Basis Function Neural Network
    Tang, W. Q.
    Cai, Y. L.
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 6343 - 6348
  • [8] Radial Basis Function Neural Network with Sliding Mode Control for Robotic Manipulators
    Lu, Hung-Ching
    Tsai, Cheng-Hung
    Chang, Ming-Hung
    IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2010,
  • [9] Adaptive radial basis function sliding mode control for platoons under DoS attacks
    Zhang, Xiaofei
    Du, Haiping
    Jia, Zhijuan
    Cui, Chi
    Yang, Yanyan
    IET INTELLIGENT TRANSPORT SYSTEMS, 2023, 17 (03) : 630 - 644
  • [10] Spacecraft attitude control and vibration suppression using magnetically suspended control & sensitive gyroscope and radial basis function network adaptive sliding mode control
    Li, Lei
    Ren, Yuan
    Chen, Xiaocen
    Wang, Weijie
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2022, 236 (15) : 8211 - 8220
12345