Backstepping Sliding Mode Robust Control for a Wire-Driven Parallel Robot Based on a Nonlinear Disturbance Observer

被引:15
|
作者
Wang, Yuqi
Lin, Qi
Zhou, Lei
Shi, Xinxin
Wang, Lei
机构
[1] School of Automation, Nanjing Institute of Technology, Nanjing
[2] Xiamen University, Xiamen
基金
中国国家自然科学基金;
关键词
NEURAL-NETWORK CONTROL; SYSTEMS; WORKSPACE;
D O I
10.1155/2020/3146762
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Based on a nonlinear disturbance observer, a backstepping sliding mode robust control is proposed for a wire-driven parallel robot (WDPR) system used in the wind tunnel test to dominate the motion of the end effector. The control method combines both the merits of backstepping control and sliding mode robust control. The WDPR is subject to different types of disturbances, and these disturbances will affect the motion precision of the end effector. To overcome these problems, a nonlinear disturbance observer (NDO) is designed to reject such disturbances. In this study, the design method of the nonlinear disturbance observer does not require the reliable dynamic model of the WDPR. Moreover, the design method can be used not only in the WDPR but also in other parallel robots. Then, a backstepping design method is adopted and a sliding mode term is introduced to construct a desired controller, and the disturbances are compensated in the controller to reduce the switching gain and guarantee the robustness. For the sake of verifying the stabilization of the closed-loop system, the Lyapunov function is constructed to analyze the stabilization of the system. Finally, the feasibility and validity of the proposed control scheme are proved through both simulation and experimental results.
引用
收藏
页数:17
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