• DocumentCode
    1554479
  • Title

    Command, control, and navigation experimental results with the NPS ARIES AUV

  • Author

    Marco, David Bryan ; Healey, Anthony J.

  • Author_Institution
    Dept. of Mech. Eng., Naval Postgraduate Sch., Monterey, CA, USA
  • Volume
    26
  • Issue
    4
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    466
  • Lastpage
    476
  • Abstract
    Provides an overview of the Naval Postgraduate School ARIES autonomous underwater vehicle and its control and navigation. An attempt is made to highlight its current operational capabilities and provide a description of future enhancements for greater mission utility and flexibility. An overview of the vehicle design along with descriptions of all major hardware components and sensors is given. A major discussion of the implementation of a modular, multirate, multiprocess software architecture for the ARIES is provided. The architecture is designed to operate using either a single computer processor or two independent, cooperating processors linked through a network interface for improved load balancing. A dual computer implementation is presented since each processor assumes different tasks for mission operation. Also included is a section on the underwater navigation method using a real-time extended Kalman filter that fuses all sensor data and computes the real time position, orientation and velocity. Experimental results for navigational accuracy using a DGPS/IMU/Doppler-aided navigation system are presented with DGPS pop-up maneuvers. Navigational accuracy is a requirement for the use of ARIES as a mobile communications network node. This work provides some examples of missions possible with such a node and the current state of its command and control system
  • Keywords
    Global Positioning System; Kalman filters; command and control systems; inertial navigation; military equipment; oceanographic equipment; remotely operated vehicles; underwater vehicles; ARIES; DGPS/IMU/Doppler-aided navigation system; Differential Global Positioning System; autonomous underwater vehicle; command, control and navigation; cooperating processors; data fusion; hardware components; inertial measurement unit; load balancing; mission utility; mobile communications network node; multiprocess software architecture; real-time extended Kalman filter; underwater navigation method; Computer architecture; Computer interfaces; Computer networks; Global Positioning System; Hardware; Navigation; Remotely operated vehicles; Sensor phenomena and characterization; Software architecture; Underwater vehicles;
  • fLanguage
    English
  • Journal_Title
    Oceanic Engineering, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0364-9059
  • Type

    jour

  • DOI
    10.1109/48.972079
  • Filename
    972079