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
Link To Document