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The SINS/GPS/DVL Integrated Navigation Method Based on Ocean Current Model

机译:基于洋流模型的SINS / GPS / DVL组合导航方法

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The navigation system of the AUV (Autonomous Underwater Vehicle) usually takes SINS (Strapdown Inertial Navigation System) as the core, and is supplemented by GPS (Global Position System) and DVL (Doppler Velocity Log). While the AUV operates underwater, the GPS signals can't be received, and the DVL beam can't reach the seabed, namely the output speed of the DVL is relative to the water. If the relative speed is taken as the observed quantity to assist SINS, the navigation accuracy will be declined. In order to solve the problem, a novel SINS/GPS/DVL integrated navigation method is proposed. In this method, when AUV sails at sea (GPS is available), the Kalman filter is used to estimate the ocean current based on the ocean current model; and when the AUV sails under water (GPS is unavailable), the current speed is provided based on the estimated ocean current model, and used to aid SINS together with DVL. Simulation results show that the proposed method can improve the performance of integrated navigation system when the output speed of DVL is the speed information relative to the ocean current.
机译:AUV(自动水下航行器)的导航系统通常以SINS(捷联惯性导航系统)为核心,并辅以GPS(全球定位系统)和DVL(多普勒速度测井)。当水下航行器在水下运行时,无法接收GPS信号,并且DVL光束无法到达海床,即DVL的输出速度是相对于水的。如果将相对速度作为辅助SINS的观测量,则导航精度会下降。为了解决该问题,提出了一种新颖的SINS / GPS / DVL组合导航方法。在这种方法中,当AUV航行在海上(可使用GPS)时,卡尔曼滤波器用于根据洋流模型估算洋流;当AUV在水下航行时(无法使用GPS),将根据估算的洋流模型提供当前速度,并将其与DVL一起用于辅助SINS。仿真结果表明,当DVL的输出速度为相对于洋流的速度信息时,该方法可以提高组合导航系统的性能。

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