水下滑翔机依靠调节浮力实现升沉，借助水动力实现水中滑翔，可对复杂海洋环境进行长时续、大范围的观测与探测，在全球海洋观测与探测系统中发挥着重要作用，目前其应用领域已部分拓展至水下目标探测。本文综述水下滑翔机集群组网执行海洋环境观测和集群水下目标探测方面的应用现状，对水下滑翔机平台集成控制、人工智能技术应用、能源补给、水声通信等制约其集群水下探测能力提升的关键技术进行分析，对水下滑翔机技术未来的发展趋势进行了展望。
The underwater glider(UG) dives along a saw-tooth trajectory by adjusting the buoyancy and maintains its gliding mode by making use of hydrodynamic force. It can realize continuous observation and detection in long range and large scale in the complex ocean environment. Therefore, UG plays an increasingly important role in the novel global ocean observation and detection systems; At present, its application comprehension has been partially extended to underwater target detection. This paper summarizes the recent development status of UG cluster networking in marine environment observation and cluster underwater target detection, and the constraints technology on its cluster underwater detection were analyzed, such as integrated control of underwater glider platform, the application of artificial intelligence, energy supply, underwater acoustic communication. In addition, the development trend of UG application was prospected.
2020,42(12): 13-20 收稿日期：2020-09-08
DOI：10.3404/j.issn.1672-7649.2020.12.003
分类号：TP242;TJ630
作者简介：毛柳伟(1985-),男,博士,工程师,主要从事潜艇和航行器总体技术研究
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