DocumentCode :
3514960
Title :
Hierarchical agent-based command and control system for autonomous underwater vehicles
Author :
Teck, Tan Yew ; Chitre, Mandar ; Vadakkepat, Prahlad
Author_Institution :
ARL, Tropical Marine Sci. Inst., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2010
fDate :
21-23 June 2010
Firstpage :
1
Lastpage :
6
Abstract :
Over the past decades, the design and development of mission based Autonomous Underwater Vehicle (AUV) continues to challenge researchers. Although AUV technology has matured and commercial systems have appeared in the market, a generic yet robust AUV command and control (C2) system still remains a key research area. This paper presents a command and control system architecture for modular AUVs. We particularly focus on the design and development of a generic control and software architecture for a single modular AUV while allowing natural extensions to multi-vehicle scenarios. This proposed C2 system has a hybrid modular-hierarchical control architecture. It adopts top-down approach in mission level decision making and task planning while utilizing bottom-up approach for navigational control, obstacle avoidance and vehicle fault detection. Each level consists of one or more autonomous agent components handling different C2 tasks. This structure provides the vehicle developers with an explicit view of the clearly defined control responsibilities at different level of control hierarchy. The resultant C2 system is currently operational on the STARFISH AUV built at the ARL of the National University of Singapore. It has successfully executed some autonomous missions during sea trials carried out around the Singapore coastal area.
Keywords :
collision avoidance; command and control systems; control engineering computing; decision making; fault diagnosis; remotely operated vehicles; software agents; software architecture; underwater vehicles; ARL; STARFISH AUV; agent based command and control system; autonomous underwater vehicles; control system architecture; mission level decision making; multivehicle scenarios; navigational control; obstacle avoidance; software architecture; task planning; vehicle fault detection; Command and control systems; Computer architecture; Monitoring; Navigation; Payloads; Software; Vehicles; Autonomous Underwater Vehicle (AUV); Command and Control System; Hybrid Architecture; Modularity; Software Architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Autonomous and Intelligent Systems (AIS), 2010 International Conference on
Conference_Location :
Povoa de Varzim
Print_ISBN :
978-1-4244-7104-1
Type :
conf
DOI :
10.1109/AIS.2010.5547041
Filename :
5547041
Link To Document :
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