Rongxin Cui
Extended state observer-based integral sliding mode control for an underwater robot with unknown disturbances and uncertain nonlinearities
Cui, Rongxin; Chen, Lepeng; Yang, Chenguang; Chen, Mou
Abstract
© 2017 IEEE. This paper develops a novel integral sliding mode controller (ISMC) for a general type of underwater robots based on multiple-input and multiple-output extended-state-observer (MIMO-ESO). The difficulties associated with the unmeasured velocities, unknown disturbances, and uncertain hydrodynamics of the robot have been successfully solved in the control design. An adaptive MIMO-ESO is designed not only to estimate the unmeasurable linear and angular velocities, but also to estimate the unknown external disturbances. An ISMC is then designed using Lyapunov synthesis, and an adaptive gain update algorithm is introduced to estimate the upper bound of the uncertainties. Rigorous theoretical analysis is performed to show that the proposed control method is able to achieve asymptotical tracking performance for the underwater robot. Experimental studies are also carried out to validate the effectiveness of the proposed control, and to show that the proposed approach performs better than a conventional potential difference (PD) control approach.
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 23, 2017 |
Online Publication Date | Apr 17, 2017 |
Publication Date | Aug 1, 2017 |
Deposit Date | Oct 8, 2019 |
Journal | IEEE Transactions on Industrial Electronics |
Print ISSN | 0278-0046 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 64 |
Issue | 8 |
Pages | 6785-6795 |
DOI | https://doi.org/10.1109/TIE.2017.2694410 |
Keywords | robots; unmanned underwater vehicles; observers; uncertainty; adaptation models; trajectory tracking; vehicle dynamics; extended state observer (ESO); integral sliding mode controller (ISMC); underwater robot; underwater vehicle |
Public URL | https://uwe-repository.worktribe.com/output/3597054 |
Publisher URL | https://ieeexplore.ieee.org/document/7902170 |
Related Public URLs | https://cronfa.swan.ac.uk/Record/cronfa32998 |
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