Sensor-Based Control of Holonomic Autonomous Underwater Vehicles - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports Year : 1995

Sensor-Based Control of Holonomic Autonomous Underwater Vehicles

Bernard Espiau
  • Function : Author
  • PersonId : 830140
Patrick Rives
  • Function : Author
  • PersonId : 831991
Daniel Simon
Vincent Rigaud
  • Function : Author
  • PersonId : 756530
  • IdRef : 145082997

Abstract

For underwater vehicles to be self-sufficient in an {\em a priori} unknown environment, feedback from the environment through altitude sensors is essential. This paper presents how this feedback can be efficiently achieved for fully actuated holonomic autonomous underwater vehicles (AUVs) in which different simultaneous primary tasks have to concur to the achievement of a mission. These vehicles are submitted to constrained motion due to the operational requirements of the load sensor(s) that is(are) carried for a mission, and are equipped with acoustic range altitude sensors. The approach relies on the task-function concept which is based on the reduction of the control problem to the regulation to null value of a task-function defined by the user. Two ways of taking into account different primary tasks in the determination of the task-function to be regulated to zero are presented~: a minimization of a cost function and a smooth switching between tasks. The ! presented control law appears to be robust against sensory data noise and efficient for the following of an a priori unknown and profile-varying environment
Fichier principal
Vignette du fichier
RR-2609.pdf (838.4 Ko) Télécharger le fichier

Dates and versions

inria-00074076 , version 1 (24-05-2006)

Identifiers

  • HAL Id : inria-00074076 , version 1

Cite

Aristide Santos, Bernard Espiau, Patrick Rives, Daniel Simon, Vincent Rigaud. Sensor-Based Control of Holonomic Autonomous Underwater Vehicles. RR-2609, INRIA. 1995. ⟨inria-00074076⟩
109 View
114 Download

Share

Gmail Facebook X LinkedIn More