Parallel robot with fuzzy neural network sliding mode control

被引：22
|
作者：
Xu, Jiangmin [1 ]
Wang, Qi [2 ]
Lin, Qing [1 ]
机构：
[1] Jiangsu Univ Sci & Technol, Sch Mech Engn, 2 Mengxi Rd, Zhenjiang 212003, Peoples R China
[2] HE GE Wind Energy Jiangsu Co Ltd, Zhenjiang, Peoples R China
来源：
ADVANCES IN MECHANICAL ENGINEERING | 2018年 / 10卷 / 10期
关键词：
Parallel robot; sliding control; fuzzy neural network; 6 degrees of freedom; radial basis function learning; STEWART PLATFORM;
D O I：
10.1177/1687814018801261
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
With the advancement in research on parallel robots, control theory is increasingly applied in the field of robotics. Owing to its robustness, sliding mode variable structure control is extensively used in parallel robots. This article presents an adaptive sliding mode control method for nonlinear systems. A parallel robot control model with adaptive fuzzy sliding mode control was designed based on a fuzzy neural network control theory, and simulation results demonstrate its effectiveness of the method.
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收藏
页数：8
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