自主式水下航行器(AUV)具有自主性、隐蔽性、环境适应性、可部署性和高效费比等优点,被广泛应用于民用、军用和商用等领域。智能化是目前AUV技术的研究热点,智能AUV具有更先进的“智能”技术,能够极大地拓展海上无人装备的任务范围,提高作业能力。结合典型智能AUV设备,对近年来智能AUV的发展现状进行阐述,对智能AUV的关键技术以及未来发展情况进行详细分析,研究成果对开展智能AUV设备技术研究和发展具有一定借鉴意义。
Autonomous Underwater Vehicle(AUV) has the advantages of autonomy, concealment, environment adaptability, deployability and high efficiency cost ratio, which is widely used in civil, military and commercial fields. Intelligence is the research hotspot of AUV technology. Intelligent AUV has more advanced intelligent technology, which can greatly expand the task scope of marine unmanned equipment and improve the operation ability. In this paper, combined with some typical intelligent AUV equipment, the developing status of intelligent AUV in recent years is described in detail, and the key technologies and future development of intelligent AUV are analyzed in detail. It can be used for reference in the research and development of intelligent AUV equipment technology.
2022,44(1): 86-90 收稿日期:2021-06-12
DOI:10.3404/j.issn.1672-7649.2022.01.017
分类号:TP242
作者简介:侯海平(1981-),男,工程师,主要从事水下无人平台和载荷研究
参考文献:
[1] GAFUROV S A, KLOCHKOV E V. Autonomous unmanned underwater vehicles development tendencies[J]. Procedia Engineering, 2015, 106: 141–148
[2] 金克帆, 王鸿东, 易宏, 等. 海上无人装备关键技术与智能演进展望[J]. 中国舰船研究, 2018, 13(6): 1–8
JIN Ke-fan, WANG Hong-dong, YI Hong, et al. Key technologies and intelligence evolution of maritime UV[J]. Chinese Journal of Ship Research, 2018, 13(6): 1–8
[3] ZHANG Guo-cheng, HUANG Hai, QIN Hong-de, et al. A novel adaptive second order sliding mode path following control for a portable AUV[J]. Ocean Engineering, 2018, 151: 82–92
[4] 黄琰, 李岩, 俞建成, 等. AUV智能化现状与发展趋势[J]. 机器人, 2020, 42(2): 215−231.
HUANG Yan, LI Yan, YU Jian-cheng, et al. State-of-the-art and development trends of AUV intelligence[J] .Robot, 2020, 42(2): 215−231.
[5] 钟宏伟, 李国良, 宋林桦, 等. 国外大型无人水下航行器发展综述[J]. 水下无人系统学报, 2018, 26(4): 273–282
ZHONG Hong-wei, LI Guo-liang, SONG Lin-hua, et al. Development of large displacement unmanned undersea vehicle in foreign countries: a review[J]. Journal of Unmanned Undersea Systems, 2018, 26(4): 273–282
[6] CLARK B, HAYNES P, MCGRATH B, et al. Restoring American seapower: a new fleet architecture for the United States navy[R/OL]. (2017-02-09). http://csbaonline.org/research/publications/restoring-american-seapower-a-new-fleet-architecture-for-the-united-states-.
[7] 钱东, 赵江, 杨芸. 军用UUV发展方向与趋势(上)——美军用无人系统发展规划分析解读[J]. 水下无人系统学报, 2017, 25(1): 1–30
QIAN Dong, ZHAO Jiang, YANG Yun. Development trend of military UUV(I): a review of U. S. military unmanned system development plan[J]. Journal of Unmanned Undersea Systems, 2017, 25(1): 1–30
[8] 覃耀青, 王佳胜. 无人智能技术与标准研究现状浅析[J]. 标准科学, 2018(1): 50−56.
[9] 梁洪涛, 康凤举, 傅妍芳. 面向水下无人作战系统的MAS建模与仿真研究综述[J]. 系统仿真学报, 2018, 30(11): 4053–4066
[10] 王圣洁, 康凤举, 韩翃. 潜艇与智能无人水下航行器协同系统控制体系及决策研究[J]. 兵工学报, 2017, 38(2): 335–344
[11] 石章松, 左丹. 无人作战平台智能指挥控制系统结构[J]. 指挥信息系统与技术, 2012, 3(4): 12–15,67
[12] MOUSAVIAN S H, KOOFIGAR H R. Identification-based robust motion control of an AUV: optimized by particle swarm optimization algorithm[J]. J. Intell. Robot. Syst., 2017, 85: 331–352
[13] CASHMORE M, FOX M, LONG D, et al. Artificial intelligence planning for AUV mission control[J]. IFAC-Papersonline, 2015, 48(2): 262–267
[14] 黄汉桥, 白俊强, 周欢, 等. 智能空战体系下无人协同作战发展现状及关键技术[J]. 导航与控制, 2019, 18(1): 10–18
[15] 杜雪, 廖泓舟, 张勋. 基于深度卷积特征的水下目标智能识别方法[J]. 水下无人系统学报, 2019, 27(3): 260–265
[16] 吴德伟, 何晶, 韩昆, 等. 无人作战平台认知导航及其类脑实现思想[J]. 空军工程大学学报(自然科学版), 2018, 19(6): 33–38
[17] 钟宏伟, 宋林桦, 郭钦文. 美海军大型水下无人系统发展与启示[J]. 舰船工程研究, 2019(2): 54–60
[18] FERRI G, MUNAFÒ A, TESEI A, et al. Cooperative robotic networks for underwater surveillance: an overview[J]. IET Radar, Sonar & Navigation, 2017, 11(12): 1740-1761.
[19] WEI Xiao-hui, WANG Xing-wang, BAI Xin, et al. Autonomous underwater vehicles localization in mobile underwater networks[J]. International Journal of Sensor Networks, 2017, 23(1): 61–71
[20] DAS B, SUBUDHI B, PATI B B. Cooperative formation control of autonomous underwater vehicles: an overview[J]. International Journal of Automation and Computing, 2016, 13(3): 199–225
[21] GUO Jia, HE Bo, DUAN Huan. Intelligent assistance positioning methodology based on modified iSAM for AUV using low-cost sensors[J]. Ocean Engineering, 2018, 152: 36–46
[22] 胡光桃. 未来海战场作战形态研究[J]. 现代雷达, 2019, 41(7): 16–20,32
[23] CAO Xiang, SUN Hong-bing, JAN G E. Multi-AUV cooperative target search and tracking in unknown underwater environment[J]. Ocean Engineering, 2018, 150: 1–11