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
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