Title :
Fault recovery based mission scheduling of AUV for oceanographic survey
Author :
Yan, Zheping ; Zhao, Yufei ; Chen, Tao ; Jiang, Ling
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
This paper presents a mission control approach and an on-board fault recovery to enable an autonomous underwater vehicle (AUV) to carry out the oceanographic survey autonomously. The challenges of AUV´s operability in clutter environment have led the researchers to develop intelligent control architectures composed of distributed, independent and asynchronous behaviors, so the multi-agent system is applied. A fault recovery architecture is designed to call the decision algorithm and supervise the implementation of the autonomous mission based on petri net formalism, which can respond to the changes in the environment and internal issues. The feasibility and the algorithm effectiveness of the architecture and mission control algorithm are checked by lake experiment in nominal and degraded situations.
Keywords :
Petri nets; autonomous underwater vehicles; distributed control; intelligent robots; mobile robots; multi-agent systems; multi-robot systems; oceanography; scheduling; telerobotics; AUV operability; Petri net formalism-based autonomous mission; asynchronous behaviors; autonomous underwater vehicle; clutter environment; decision algorithm; degraded situations; distributed behaviors; fault recovery-based mission scheduling; independent behaviors; intelligent control architectures; lake experiment; mission control approach; multiagent system; oceanographic survey; on-board fault recovery; Lakes; Monitoring; Multiagent systems; Payloads; Planning; Robot sensing systems; Vehicles; AUV; fault recovery; mission scheduling; oceanographic survey; petri net;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6359156