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作 者:王银涛[1,2] 贾晓宝 崔荣鑫 严卫生[1,2] WANG Yin-tao;JIA Xiao-bao;CUI Rong-xin;YAN Wei-sheng(School of Marine Science and Technology,Northwestern Polytechnical University,Xi’an Shaanxi 710072,China;National Key Laboratory of Underwater Information and Control,Xi’an Shaanxi 710072,China;Luoyang Electro-Optical Equipment Research Institute of Aviation Industry Corporation of China,Luoyang Henan 471023,China)
机构地区:[1]西北工业大学航海学院,陕西西安710072 [2]水下信息与控制国家级重点实验室,陕西西安710072 [3]中国航空工业集团公司洛阳电光设备研究所,河南洛阳471023
出 处:《控制理论与应用》2022年第11期2057-2064,共8页Control Theory & Applications
基 金:国家自然科学基金项目(U2141238)资助。
摘 要:针对无人水下航行器(UUV)导航精度受惯性导航(INS)影响较大的问题,本文提出一种基于无人水面船(USV)携带超短基线(USBL)对UUV进行移动式辅助导航定位的方法.文中以USV上高精度INS和全球导航卫星系统(GNSS)组合后的导航结果作为基准,利用USBL测量得到的USV和UUV相对位置和姿态信息,结合UUV的INS误差方程,建立了UUV协同导航系统的状态方程和观测方程,并基于自适应卡尔曼滤波方法对UUV状态进行滤波估计.仿真和湖上实验结果表明,文中所提方法可有效提升UUV导航精度.The navigation accuracy of unmanned underwater vehicles(UUV) can be easily affected by inertial navigation systems(INS), which may cause severe consequences to the UUV system. To solve the above problem, this paper introduces a mobile navigation and positioning method for the UUVs by using an unmanned surface vehicle(USV)-assisted ultra short base line(USBL) system. Firstly, based on the highly accurate navigation results from the integration of INS and global navigation satellite system(GNSS) in the USV, the relative positions and attitudes are measured using USBL. Secondly,the state-space model and the observation model of the UUV-aided cooperative navigation system are then established by fusing INS error dynamics of the UUV. Thirdly, an estimation and filter scheme based on adaptive Kalman filters is used for obtaining the accurate estimates of the UUV states. Simulation and experimental results show that the proposed algorithm can effectively increase the UUV navigation and positioning accuracy.
关 键 词:无人水下航行器 无人水面船 自适应卡尔曼滤波 组合导航系统
分 类 号:U675.7[交通运输工程—船舶及航道工程]
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