基于优化对准的水下航行器海流速度估计

Yongjiang Huang, Xixiang Liu
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引用次数: 0

摘要

多普勒速度日志(DVL)可以为捷联惯性导航系统(SINS)提供速度信息,广泛应用于自主水下航行器(auv)的导航领域。然而,在深海场景中,DVL的输出是相对于洋流的速度,因为它是在水跟踪模式下工作的。海流速度给SINS/DVL组合导航系统带来系统误差,导致导航定位精度下降。因此,海流速度的估计与补偿是实现高精度导航的基本要求,也是海洋研究的重要课题。在AUV工作的小海域,流速在短时间内保持稳定,可以认为是一个恒定值。提出了一种基于全球导航卫星系统(GNSS)/SINS/DVL组合系统的海流速度估算优化对准方法。仿真结果表明,与传统的KF方法相比,该方法可以准确地估计出当前速度,并且不依赖于初始值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Estimation of Ocean-current Velocity for AUV Using Optimization-Based Alignment
Doppler velocity log (DVL) can provide velocity information for the strap-down inertial navigation system (SINS), and it is widely used in the field of navigation for autonomous underwater vehicles (AUVs). However, in deep-sea scenarios, the DVL's output is the velocity relative to the ocean currents since it works in the water-tracking mode. The ocean-current velocity brings systematic errors to the SINS/DVL integrated navigation system, which leads to the degradation of navigation positioning accuracy. Therefore, estimating and compensating for the current velocity is an essential requirement for high-precision navigation performance and an important topic for oceanographic research. In the small ocean area where AUV works, the current velocity remains stable for a short time, and it can be considered a constant value. This paper proposes an optimization-based alignment (OBA) method for estimating the ocean-current velocity based on the GNSS (global navigation satellite system)/SINS/DVL integrated system. The simulation results show that the proposed method can estimate the current velocity accurately and does not depend on the initial value compared with the traditional KF method.
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