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Τίτλος: An adaptive backstepping nonsingular fast terminal sliding mode control for robust fault tolerant control of robot manipulators
Συγγραφείς: Van, Mien 
Mavrovouniotis, Michalis 
Ge, Shuzhi Sam 
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Λέξεις-κλειδιά: Backstepping control;control of robots;fault tolerant control (FTC);terminal sliding mode control (TSMC)
Ημερομηνία Έκδοσης: 1-Ιου-2019
Πηγή: IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, iss. 7, pp. 1448 - 1458
Volume: 49
Issue: 7
Start page: 1448
End page: 1458
Περιοδικό: IEEE Transactions on Systems, Man, and Cybernetics: Systems 
Περίληψη: This paper develops a novel control methodology for tracking control of robot manipulators based on a novel adaptive backstepping nonsingular fast terminal sliding mode control (ABNFTSMC). In this approach, a novel backstepping nonsingular fast terminal sliding mode controller (BNFTSMC) is developed based on an integration of integral nonsingular fast terminal sliding mode surface and a backstepping control strategy. The benefits of this approach are that the proposed controller can preserve the merits of the integral nonsingular fast terminal sliding mode control (NFTSMC) in terms of high robustness, fast transient response, and finite-time convergence, as well as backstepping control strategy in terms of globally asymptotic stability based on Lyapunov criterion. However, the major limitation of the proposed BNFTSMC is that its design procedure is dependent on the prior knowledge of the bound value of the disturbance and uncertainties. In order to overcome this limitation, an adaptive technique is employed to approximate the upper bound value; yielding an ABNFTSMC is recommended. The proposed controller is then applied for tracking control of a PUMA560 robot and compared with other state-of-the-art controllers, such as computed torque controller, PID controller, conventional PID-based sliding mode controller, and NFTSMC. The comparison results demonstrate the superior performance of the proposed approach.
URI: https://hdl.handle.net/20.500.14279/30831
ISSN: 21682216
DOI: 10.1109/TSMC.2017.2782246
Rights: © IEEE
Type: Article
Affiliation: Duy Tan University 
Nottingham Trent University 
National University of Singapore 
Publication Type: Peer Reviewed
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