Performance-guaranteed fractional-order sliding mode control for underactuated autonomous underwater vehicle trajectory tracking with a disturbance observer

Shaowei Rong, Huigang Wang, Huiping Li, Weitao Sun, Qingyue Gu, Juan Lei

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

This paper proposes a fractional-order sliding mode control method for an underactuated autonomous underwater vehicle (AUV) with random disturbances. First, a new fractional-order sliding mode disturbance observer (FOSMDO) is designed to estimate the random disturbance and unknown AUV's model based on adaptive and fixed time. A strategy based on adaptive fractional sliding mode control is designed for motion control, and a line-of-sight guidance law with time-varying look-ahead distance is applied to achieve path following. Then, a new fractional-order sliding model controller is designed by constructing a fractional-order mode surface and proposing a prescribed performance function to ensure the control performance. The closed-loop stability is proved and analyzed, and the effectiveness and robustness of the controller are demonstrated by numeric simulations.

Original languageEnglish
Article number112330
JournalOcean Engineering
Volume263
DOIs
StatePublished - 1 Nov 2022

Keywords

  • Autonomous underwater vehicles
  • Fixed-time convergence
  • Fractional-order sliding mode
  • Prescribed performance control

Fingerprint

Dive into the research topics of 'Performance-guaranteed fractional-order sliding mode control for underactuated autonomous underwater vehicle trajectory tracking with a disturbance observer'. Together they form a unique fingerprint.

Cite this