Robust optimal depth control of Hovering Autonomous Underwater Vehicle

Yoong Siang Song*, Mohd Rizal Arshad

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

This paper presents a robust optimal controller for a Hovering Autonomous Underwater Vehicle (HAUV) in station keeping. The proposed controller does not require added mass, hydrodynamic drag force, and buoyancy force information of the HAUV system. The proposed controller is a time invariant controller which combined optimal control technique and robust filter control technique. The optimal control technique is used to provide a minimum performance index in terms of the tracking error of the HAUV system. On the other hand, the robust filter control technique is used to compensate the effect of added mass, hydrodynamic drag force, buoyancy force, model nonlinearities, and external disturbances on the HAUV system. The proposed controller can reject the effects of waves on the HAUV system without high frequency oscillation on its force profile. Simulation results show that the proposed controller has maximum steady state error of 0.002 meter, error-squared performance index of 2.1, and control signal frequency of 0.1 Hertz.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages191-195
Number of pages5
ISBN (Electronic)9781538608463
DOIs
Publication statusPublished - 22 Dec 2017
Externally publishedYes
Event2nd IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017 - Kota Kinabalu, Sabah, Malaysia
Duration: 21 Oct 2017 → …

Publication series

NameProceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017
Volume2017-December

Conference

Conference2nd IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017
Country/TerritoryMalaysia
CityKota Kinabalu, Sabah
Period21/10/17 → …

Keywords

  • Depth Control
  • Hovering Autonomous Underwater Vehicle (HAUV)
  • Optimal Control
  • Robust Control

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