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Cooperative acoustic navigation of underwater vehicles without a DVL utilizing a dynamic process model: Theory and field evaluation

机译:利用动态过程模型的无DVL的水下车辆合作声学导航:理论与现场评估

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This paper reports the theoretical development and at-sea field evaluation of a novel combined underwater acoustic communication and navigation system, known as cooperative acoustic navigation (CAN), for underwater vehicles (UVs) utilizing a second-order dynamic plant model of the submerged UVs. The present state-of-the-art in CAN is to utilize one-way travel-time acoustic modem telemetry together with purely kinematic, constant-velocity plant process models. We term this approach CAN-KIN. At present, CAN-KIN is utilized with an on-board bottom-lock Doppler velocity log (DVL) providing frequent, high-accuracy velocity corrections. However, DVLs are relatively expensive, have significant power requirements, can be physically large, and have limited acoustic bottom-lock range, which restricts their use to a maximum of 25-420 m above the sea floor. In this study, we investigate the utility of a second-order dynamic UV plant process model in CAN of UVs equipped with an acoustic modem, attitude, and depth sensors, but lacking a DVL, and a surface ship equipped with an acoustic modem and global positioning system. We term CAN utilizing a dynamic model CAN-DYN. This paper reports results from at-sea field trials conducted in the Chesapeake Bay with the Johns Hopkins University Iver3 UV. These experimental results indicate the submerged UV position estimate from CAN-KIN is poor and even unstable in the absence of DVL velocity observations. These field experimental results also show that CAN-DYN performs well without a DVL Our results suggest CAN-DYN without a DVL does not exhibit instability as does CAN-KIN without a DVL, performs similarly to CAN-KIN with a DVL, and outperforms DVL-based dead reckoning. Additionally, we report an experimental evaluation of the effect of adding (relative) velocity corrections in the form of acoustic range-rate observations to CAN utilizing a dynamic model without a DVL. We conclude that the addition of infrequent velocity observations, such as those provided by acoustic range rate, does not appear to improve the performance of CAN-DYN without a DVL.
机译:本文报告了一种新颖组合水下声学通信和导航系统的理论发展和海上场地评价,称为合作声学导航(CAN),用于利用浸没式UV的二阶动态植物模型的水下车辆(UV) 。目前最先进的可以使用单向旅行时间声学调制解调器遥测与纯粹的运动恒流厂工艺模型。我们术语术语可以-Kin。目前,Can-Kin用板载底锁多普勒速度对数(DVL)提供频繁,高精度的速度校正。然而,DVLS相对昂贵,具有显着的功率要求,可以物理大,声学底锁范围有限,其限制在海底上最多25-420米。在这项研究中,我们调查了含有声学调制解调器,姿态和深度传感器的UV的二阶动态UV工厂工艺模型的效用,但缺少DVL,以及配备声学调制解调器和全局的地表船定位系统。我们术语可以利用动态模型Can-Dyn。本文报告了Chesapeake Bay在Chesapeake Bay的海上田间试验结果,其中约翰霍普金斯大学Iver3紫外线。这些实验结果表明,在没有DVL速度观测的情况下,来自CAN-Kin的浸没的UV位置估计差异差,甚至不稳定。这些现场实验结果还显示CAN-DYN在没有DVL的情况下执行良好,我们的结果表明没有DVL的CAN-DYN不会表现出没有DVL的CAN-KIN的不稳定,与DVL类似地执行CAN-Kin,并且优于DVL。 - 基于死亡的估计。另外,我们报告了对声学范围观测的形式添加(相对)速度校正的效果的实验评价,以便在没有DVL的情况下利用动态模型。我们得出结论,添加不频繁的速度观测,例如由声学范围率提供的那些,似乎没有改善CAN-DYN的性能而没有DVL。

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