Observer-based Fault Detection and Estimation of Unmanned Underwater Gliders

Jiarun Wang, Anyan Jing, Boxu Min, Linyu Guo, Yimin Chen, Jian Gao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In order to diagnose the faults for a class of underwater glider systems with Lipschitz nonlinear part, the kinematic and dynamic models of the underwater gliders considering the abrupt faults of the actuators are developed. Then the fault detection observer is designed considering the external bounded interference. The constant upper bound of the stable state estimation error in the faulty conditions is taken as the fault detection threshold to identify the fault occurrence. A fault estimator is thus designed to identify the magnitude and the time characteristics of the total impact of the fault. In this paper, the designed fault diagnosis strategy is proved theoretically, and the simulation results are given to verify the effectiveness of the proposed strategy.

Original languageEnglish
Title of host publicationOCEANS 2023 - Limerick, OCEANS Limerick 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350332261
DOIs
StatePublished - 2023
Event2023 OCEANS Limerick, OCEANS Limerick 2023 - Limerick, Ireland
Duration: 5 Jun 20238 Jun 2023

Publication series

NameOCEANS 2023 - Limerick, OCEANS Limerick 2023

Conference

Conference2023 OCEANS Limerick, OCEANS Limerick 2023
Country/TerritoryIreland
CityLimerick
Period5/06/238/06/23

Keywords

  • Fault Detection
  • Fault Estimation
  • Nonlinear
  • Observer
  • Threshold
  • Underwater Glider

Fingerprint

Dive into the research topics of 'Observer-based Fault Detection and Estimation of Unmanned Underwater Gliders'. Together they form a unique fingerprint.

Cite this