Towards the stabilization of an underactuated underwater vehicle in the presence of unknown disturbances

Dimitra J. Panagou, George C. Karras, Kostas J. Kyriakopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper a dynamic model based control scheme is proposed for the stabilization of an underactuated underwater vehicle, in the presence of slowly varying, unknown disturbances. An Unscented Kalman Filter (UKF), based on the vehicle's dynamic model, is applied for the sensor fusion process to provide an estimation of the full state vector of the system. External disturbances and unmodeled phenomena are included in the dynamic model as zero-mean Gaussian white noise processes. The estimation of the state vector is used as feedback for the proposed control scheme, which stabilizes the vehicle to the desired position and orientation. The proposed methodology is experimentally implemented using a 3-DOF underactuated vehicle. The efficiency of the methodology under various environmental conditions is demonstrated by simulation results. The overall system can be used for inspection tasks of sea platforms, e.g. during the inspection of a ship hull for possible damage tracking.

Original languageEnglish (US)
Title of host publicationOCEANS 2008
StatePublished - 2008
EventOCEANS 2008 - Quebec City, QC, Canada
Duration: Sep 15 2008Sep 18 2008

Publication series

NameOCEANS 2008


ConferenceOCEANS 2008
CityQuebec City, QC

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Oceanography


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