Advanced Non-Linear Control Algorithms Applied to Design Highly Maneuverable Autonomous Underwater Vehicles (AUVs)

Abstract

An increasing variety of sensors are becoming available for use onboard autonomous vehicles. Given these enhanced sensing capabilities, scientific and military personnel are interested in exploiting autonomous vehicles for increasingly complex missions. Most of these missions require the vehicle to function in complex, cluttered environments and react to changing environmental parameters. The present state-of-art vehicles are not maneuverable enough to successfully accomplish most of these tasks. In this research, a nonlinear controller was derived, designed, implemented in simulation and onboard a AUV, and in-water tested in order to enhance vehicle maneuverability. The structure of a controller is hierarchical such that an inner loop non-linear controller (outputs the appropriate thrust values) is the same for all mission scenarios while a library of outer-loop non-linear controllers are available to implement specific maneuvering scenarios. On top of the outer-loop is the mission planner which selects which outer-loop controller will be used. The algorithms are generic and in no way vehicle specific and can therefore be implemented on various AUVs.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2007
Accession Number
ADA494237

Entities

People

  • Jay A Farrell
  • Paul Miller
  • Rich Arrieta
  • Vladimir Djapic

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Altitude Controllers
  • Autonomous Underwater Vehicles
  • Autonomous Vehicles
  • Control Systems
  • Depth Control
  • Equations
  • Ship Hulls
  • Simulations
  • Two Dimensional
  • Underwater Vehicles
  • Unmanned Maritime Vehicles
  • Unmanned Systems
  • Unmanned Underwater Vehicles
  • Vehicles

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control