Adaptive Fuzzy Tracking Control of Flexible-Joint Robots With Full-State Constraints
Adaptive Fuzzy Tracking Control of Flexible-Joint Robots With Full-State Constraints
复制标题
全状态约束柔性关节机器人自适应模糊跟踪控制
DOI:
10.1109/tsmc.2018.2870642
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发表时间:
2019-11
期刊:
影响因子:
--
通讯作者:
Van-Truong Nguyen
中科院分区:
文献类型:
--
作者:
Wei Sun;Shun-Feng Su;Jianwei Xia;Van-Truong Nguyen
This paper reports our study on adaptive fuzzy tracking control for flexible-joint robots with full state constraints. In the control design, fuzzy systems are adopted to identify the totally unknown nonlinear functions and can properly avoid burdensome computations. The tan-type barrier Lyapunov functions are used to deal with state constraints so that even without state constraints, the controller is still valid. By combining the method of backstepping design with adaptive fuzzy control approaches, a novel simpler controller is successfully constructed to ensure that the output tracking errors converge to a sufficiently small neighborhood of the origin, while the constraints on the system states will not be violated during operation. Finally, comparison simulations are presented to demonstrate the effectiveness of the proposed control schemes.
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