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Performance Analysis on a Navigation Method of Multiple AUVs for Wide Area Survey

机译:广域测量中多种自动水下航行器导航方法的性能分析

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In this paper, we propose a navigation method of multiple AUVs and give a performance analysis on position estimation for a wide area survey. The key idea of the proposed method is alternating roles of the AUVs between Moving and Measuring Role (MMR) and Landmark Role (LR). AUVs in the MMR move based on the AUVs in the LR. On the other hand, AUVs in the LR keep their positions on the seabed to act as landmarks for the moving AUVs. By alternating their roles, the two groups of AUVs can observe in a wide area while maintaining a good position estimate. AUV position is estimated by mutual acoustic measurements of relative distance among AUVs and direction among them. These position measurements are fused with other on-board sensors such as Doppler velocity logger (DVL), fiber optic gyro (FOG) and depth sensor by particle filter for a robust position estimate against sensor noises and lack of measurements. We verified the performance of the method through navigation simulation based on the performance of sensors obtained during various experiments performed in a pool environment and at sea. In the simulation, the proposed method achieved a positioning error considerably smaller than dead reckoning and conventional navigation methods of a single AUV. In the proposed method, each AUV also achieved state estimation, suppressing deviation from its true position and heading due to alternating roles and evaluating outliers of positioning measurements by particle filter. Therefore, the proposed method is suitable for a wide area survey without sensor drifts and deviation from true state compared with conventional navigation methods.
机译:在本文中,我们提出了一种多种AUV的导航方法,并针对广域测量的位置估计进行了性能分析。提出的方法的关键思想是AUV在移动和测量角色(MMR)和地标角色(LR)之间的交替角色。 MMR中的AUV基于LR中的AUV移动。另一方面,LR中的AUV保持其在海床上的位置,充当移动中的AUV的地标。通过交替使用它们的角色,两组AUV可以在广阔的区域内观察,同时保持良好的位置估计。 AUV位置是通过相互声学测量AUV之间的相对距离和它们之间的方向来估计的。这些位置测量与其他机载传感器(如多普勒速度记录仪(DVL),光纤陀螺仪(FOG)和深度传感器)通过粒子滤波器融合在一起,可针对传感器噪声和缺乏测量结果进行可靠的位置估计。我们基于在泳池环境和海上进行的各种实验中获得的传感器性能,通过导航仿真验证了该方法的性能。在仿真中,所提出的方法实现的定位误差大大小于单个AUV的航位推算和传统导航方法。在提出的方法中,每个AUV还实现了状态估计,抑制了由于角色交替而偏离其真实位置和航向的情况,并通过粒子滤波器评估了定位测量值的异常值。因此,与传统的导航方法相比,该方法适用于没有传感器漂移和偏离真实状态的广域测量。

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