Navigation and guidance control system of AUV with trajectory estimation of linear modelling

T. Herlambang, E. Djatmiko, H. Nurhadi
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引用次数: 38

Abstract

This paper put forwards a study on the development of navigation and guidance systems for AUV. The restriction in AUV model and estimation on the degree of freedom are recognized as the common problem in AUV's navigation and guidance systems. In this respect a linear model, derived from the linearization using the Jacobian matrix, will be utilized. The so obtained linear model is then estimated by the Ensemble Kalman Filter (EnKF). The implementation of EnKF algorithm on the linear model is carried out by establishing two simulations, namely by generating 300 and 400 ensembles, respectively. The simulations exhibit that the generation of 400 ensembles will give more accurate results in comparison to the generation of 300 ensembles. Furthermore, the best simulation yields the tracking accuracy between the real and simulated trajectories, in translational modes, is in the order of 99.88%, and in rotational modes is in the order of 99.99%.
基于线性建模的水下航行器导航制导控制系统
本文对水下航行器导航制导系统的发展进行了研究。水下航行器模型的约束和自由度的估计是水下航行器导航制导系统中普遍存在的问题。在这方面,一个线性模型,由雅可比矩阵的线性化,将被利用。然后用集合卡尔曼滤波(Ensemble Kalman Filter, EnKF)对得到的线性模型进行估计。通过建立两个仿真,分别生成300个和400个集成,在线性模型上实现EnKF算法。仿真结果表明,与生成300个集合相比,生成400个集合可以得到更精确的结果。仿真结果表明,在平移模式下,仿真轨迹与真实轨迹的跟踪精度为99.88%,在旋转模式下,仿真轨迹的跟踪精度为99.99%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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