Paper Info
Title
Finite-Time Adaptive Fuzzy Tracking Control Design for Parallel Manipulators with Unbounded Uncertainties
Abstract
In this paper, a finite-time adaptive fuzzy tracking control scheme is proposed for parallel manipulators with unbounded uncertainties. The proposed approach is based on fuzzy logic systems (FLS), nonsingular fast terminal sliding mode control (NFTSMC) and adaptive sliding compensation from nonlinearities in output feedback. FLS are adopted to handle system uncertainties and external disturbances. This learning approach does not require knowledge of parallel manipulator dynamics. The proposed control scheme can possess several advantages over other state-of-the-art approaches such as rapid response, robustness, higher precision, nonsingular, and finite-time converge. Besides, since the proposed approach is a hybrid scheme of NFTSMC and FLS, the proposed controller can have much better tracking control performance. The finite-time convergence and stability of the closed-loop robotic system are ensured by the Lyapunov theory. Finally, from the simulation results, it is clearly evident that the proposed approach can indeed outperform previous existing methods.
Year
DOI
Venue
2019
10.1007/s40815-018-0569-1
International Journal of Fuzzy Systems
Keywords
Field
DocType
Parallel manipulator, NFTSMC, Fuzzy logic systems, Finite-time stability
Convergence (routing),Lyapunov function,Parallel manipulator,Control theory,Control theory,Fuzzy logic,Robustness (computer science),Invertible matrix,Terminal sliding mode,Mathematics
Journal
Volume
Issue
ISSN
21
2
2199-3211
Citations 
PageRank 
References 
2
0.38
32
Authors
4
Name
Order
Citations
PageRank
Van-Truong Nguyen1462.20
Chyi-Yeu Lin27114.95
Shun-Feng Su3119497.62
Wei Sun41298.62