Uncertainty management during hybrid autonomous underwater vehicle missions
Uncertainty management during hybrid autonomous underwater vehicle missions
Effective autonomous underwater vehicle (AUV) mission uncertainty management requires identifying optimal mission profile based on multiple uncertain attributes. The new deep underwater glider being developed by the BRIDGES consortium will enable the use of low power AUV to sample three different phenomena: living things, sea mining and oil and gas exploration. In order to have the versatility to address these three requirements, the underwater glider will operate in a hybrid mode, using a buoyancy change and propeller based propulsion system. When we developed a failure model for this AUV we realized that different risk profiles are obtained if we are using different type of propulsion system. Therefore, we propose a multiple attribute utility technique to inform the optimal mission profile in light of mission risks and opportunities.
278-285
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
1 December 2016
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
Brito, Mario
(2016)
Uncertainty management during hybrid autonomous underwater vehicle missions.
In 2016 IEEE/OES Autonomous Underwater Vehicles.
IEEE.
.
(doi:10.1109/AUV.2016.7778684).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Effective autonomous underwater vehicle (AUV) mission uncertainty management requires identifying optimal mission profile based on multiple uncertain attributes. The new deep underwater glider being developed by the BRIDGES consortium will enable the use of low power AUV to sample three different phenomena: living things, sea mining and oil and gas exploration. In order to have the versatility to address these three requirements, the underwater glider will operate in a hybrid mode, using a buoyancy change and propeller based propulsion system. When we developed a failure model for this AUV we realized that different risk profiles are obtained if we are using different type of propulsion system. Therefore, we propose a multiple attribute utility technique to inform the optimal mission profile in light of mission risks and opportunities.
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Published date: 1 December 2016
Organisations:
Centre of Excellence in Decision, Analytics & Risk Research
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Local EPrints ID: 405586
URI: http://eprints.soton.ac.uk/id/eprint/405586
PURE UUID: 5cf4bfa5-3899-4eed-9444-a5a6fdd42164
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Date deposited: 08 Feb 2017 10:31
Last modified: 16 Mar 2024 03:58
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