1. 海军装备部
2. 海装武汉局驻武汉地区第二军事代表室
3. 哈尔滨工程大学
4. 中国船舶集团有限公司第710研究所
纸质出版:2024
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吴艳峰, 鲍敬源, 韩云峰, 等. 基于声学的水下惯性导航系统校准技术研究[J]. 传感器与微系统, 2024,(5):35-38.
吴艳峰, 鲍敬源, 韩云峰, 等. 基于声学的水下惯性导航系统校准技术研究[J]. 传感器与微系统, 2024,(5):35-38. DOI: 10.13873/J.1000-9787(2024)05-0035-04.
随着海洋开发的进程推展,自主式水下潜航器(AUV)的导航技术也在日益进步。随着技术的探索,发现惯性导航的声学导航结合的导航模式才是未来的主要导航方向。因此,提出一种基于声学的水下惯性导航系统(INS)校准方法,其定位精度由惯导精度、安装偏差和声学定位精度综合决定。结果显示,在水下平台采用高精度光纤惯导并精确测量安装偏差的条件下,此方法能够获取不大于100 m的定位精度,能够很好地为水下平台提供导航系统修正。
Chenglong Xu,Chunhui Xu,Chengdong Wu,Daokui Qu,Jian Liu,Yiqun Wang,Gang Shao.A novel self-adapting filter based navigation algorithm for autonomous underwater vehicles[J].Ocean Engineering,2019.
Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, China Agricultural University, Beijing 100083, PR China,College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, PR China,School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, PR China,Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, China Agricultural University, Beijing 100083, PR China,College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, PR China,Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, China Agricultural University, Beijing 100083, PR China,College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, PR China,Fraunhofer Center for Applied Systems Technology, Am Vogelherd 50, 98693 Ilmenau, Germany.Integrated navigation for autonomous underwater vehicles in aquaculture: A review[J].Information Processing in Agriculture,2020.
Shabani, Mohammad,Gholami, Asghar.Improved Underwater Integrated Navigation System using Unscented Filtering Approach[J].Journal of navigation,2016.
Dongdong Li,Daxiong Ji,Jian Liu,Yang Lin.A Multi-Model EKF Integrated Navigation Algorithm for Deep Water AUV[J].International Journal of Advanced Robotic Systems,2016.
Chen, Yiming,Zheng, Dongfang,Miller, Paul A.,Farrell, Jay A..Underwater Inertial Navigation With Long Baseline Transceivers: A Near-Real-Time Approach[J].IEEE transactions on control systems technology: A publication of the IEEE Control Systems Society,2016.
Fábio Doro Zanoni,Ettore Apolônio de Barros.A real-time navigation system for autonomous underwater vehicle[J].Journal of the Brazilian Society of Mechanical Sciences and Engineering,2015.
Shabani Mohammad,Gholami Asghar,Davari Narjes.Asynchronous direct Kalman filtering approach for underwater integrated navigation system[J].Nonlinear Dynamics,2015.
Miller, P. A.,Farrell, J. A.,Zhao, Y.,Djapic, V..Autonomous Underwater Vehicle Navigation[J].IEEE Journal of Oceanic Engineering: A Journal Devoted to the Application of Electrical and Electronics Engineering to the Oceanic Environment,2010.
Morgado M.,Oliveira P.,Silvestre C.,Vasconcelos J.F..Improving Aiding techniques for USBL Tightly-Coupled Inertial Navigation System[J].IFAC Proceedings Volumes,2008.
Pan-Mook Lee,Bong-Huan Jun,Kihun Kim,Jihong Lee,Aoki T.,Hyakudome T..Simulation of an Inertial Acoustic Navigation System With Range Aiding for an Autonomous Underwater Vehicle[J].IEEE Journal of Oceanic Engineering: A Journal Devoted to the Application of Electrical and Electronics Engineering to the Oceanic Environment,2007.
Bjørn Jalving,Kenneth Gade,Kristian Svartveit,Are Willumsen,Robert Sørhagen.DVL Velocity Aiding in the HUGIN 1000 Integrated Inertial Navigation System[J].Modeling, Identification and Control,2004.
SIMON J. JULIER,JEFFREY K. UHLMANN.Unscented Filtering and Nonlinear Estimation[J].Proceedings of the IEEE,2004.
靳凯迪,柴洪洲,宿楚涵,郭云飞,李明.DVL/SINS组合导航技术发展现状及趋势[J].导航定位学报,2022(02).
邢国强,李东兵,隋毅,杨文钰,沈玉芃.国外水下导航技术发展现状分析[J].飞航导弹,2021(05).
张世童,张宏伟,王延辉,张玉鹏,谢阳光.自主水下航行器导航技术发展现状与分析[J].导航定位学报,2020(02).
贾地,王雪仁,刘瑞杰,缪旭弘,马建强.复合材料结构水下振动噪声仿真研究[J].传感器与微系统,2018(04).
郭玉胜,付梦印,邓志红,邓继权,艾瀛涛.考虑洋流影响的SINS/DVL组合导航算法[J].中国惯性技术学报,2017(06).
张涛,徐晓苏,李瑶,宫淑萍.基于惯导及水下声学辅助系统的AUV容错导航技术[J].中国惯性技术学报,2013(04).
秦峰,杜刚,马晓峰,战兴群.低功耗水下自主导航系统设计[J].传感器与微系统,2011(11).
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