Extended State Observer-Based Integral Sliding Mode Control for an Underwater Robot With Unknown Disturbances and Uncertain Nonlinearities

Rongxin Cui, Lepeng Chen, Chenguang Yang, Mou Chen

Research output: Contribution to journalArticlepeer-review

536 Scopus citations

Abstract

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.

Original languageEnglish
Article number7902170
Pages (from-to)6785-6795
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume64
Issue number8
DOIs
StatePublished - Aug 2017

Keywords

  • Extended state observer (ESO)
  • integral sliding mode controller (ISMC)
  • underwater robot
  • underwater vehicle

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