Multiple AUUV cooperative area target searching method based on distributed model
Source abstract
Abstract
Underwater unmanned vehicle cluster cooperative area target searching is an inexpensive and efficient effort for salvaging and vigilance at sea. In order to realize the autonomous area searching of the attacking underwater unmanned vehicle (AUUV) cluster, a multiple AUUV cooperative area target searching method is put forward and simulated in this paper. The proposed method combines the AUUV with an underwater environment to create an environmental model, an AUUV motion model, a target probability and update model, and an object optimization function. Moreover, the global-best difference-mutation brain storm optimization algorithm is adopted to test the multiple AUUV cooperative area target searching path planning. The results of the simulation experiment verify the effectiveness of the proposed method and models. Hence, a new scheme is advanced to realize multiple AUUV cooperative area target searching and expand multiple AUUV applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Robotic Path Planning Algorithms · Underwater Vehicles and Communication Systems · Distributed Control Multi-Agent Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Academy of Weaponry Engineering, Naval University of Engineering , Wuhan 430033, China
References (14)
Show source-provided references
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