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Navigation and Guidance Control System of AUV with Trajectory Estimation of Linear Modelling

机译:用于线性建模轨迹估计的AUV导航和引导控制系统

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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%.
机译:本文提出了AUV导航和指导系统的发展研究。 AUV模型的限制和对自由度的估计被认为是AUV导航和指导系统中的常见问题。在这方面,将利用使用雅加族矩阵导出的线性模型。然后通过集合卡尔曼滤波器(ENKF)估计所获得的线性模型。通过分别建立两个模拟,即通过生成300和400合奏来执行线性模型上的ENKF算法的实现。模拟表明,与300个集合的产生相比,400个集合的产生将提供更准确的结果。此外,最佳模拟在转化模式下,实际和模拟轨迹之间的跟踪精度在于99.88%,旋转模式的速度为99.99%。

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