Trajectory exponential tracking control of unmanned surface ships with external disturbance and system uncertainties

Yaohong Qu, Bing Xiao, Zhenzhou Fu, Dongli Yuan

Research output: Contribution to journalArticlepeer-review

82 Scopus citations

Abstract

Any unmanned surface ship is subject to system uncertainty, unknown parameters, and external disturbance induced by the wind, the wave loads, and the ocean currents. They may deteriorate ship's control accuracy. This paper aims to solve the trajectory tracking control problem of unmanned surface ships with disturbance and system uncertainty accommodated simultaneously. An estimator-based backstepping controller is presented with an estimator designed to provide a precise estimation of the disturbance and uncertainties. The proposed controller ensures the closed-loop tracking system to be globally exponentially stable. The trajectory tracking error and the estimation error of disturbance and uncertainties are globally exponentially stable. The key feature of the developed control scheme is that it is more robust to disturbances and system uncertainties. Simulation results are further presented to validate the effectiveness of the approach.

Original languageEnglish
Pages (from-to)47-55
Number of pages9
JournalISA Transactions
Volume78
DOIs
StatePublished - Jul 2018

Keywords

  • Exponential convergence
  • External disturbance
  • System uncertainties
  • Trajectory tracking control
  • Unmanned surface ships

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