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Toward wide seafloor surveys using multiple autonomous underwater vehicles

机译:使用多台自动水下航行器进行海底调查

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In this paper, we report experimental results of the navigation method of multiple Autonomous Underwater Vehicles (AUVs) for wide seafloor surveys, which we had proposed in the previous reports. Moving AUVs estimate their states (horizontal position and heading angle) based on AUVs remaining stationary on the seafloor (landmark AUVs). Moving AUVs land on the seafloor and transmit their information about the estimated states to landmark AUVs after completing tasks around landmark AUVs. This information is derived from "particle clustering" to reduce the required communication data size because typical data rates of acoustic communications in underwater environments are too small to transmit the large information within a reasonable time period. In order to verify the performance of this method, sea trials were carried out using the AUV Tri-Dog1 (TD) and a Dummy AUV (DA). TD successfully navigated around DA. TD and DA alternatively estimated the states using the information of the states transmitted by the other vehicle. TD and DA also mutually controlled the navigation role, the moving role and the landmark role by acoustic communication. As a result, TD and DA alternated the roles 10 times while sharing the information of the states estimated by the other vehicle. Standard deviations of the states were found to be suppressed to be about 0.2 m in the horizontal position and about 1.0 deg in the heading angle. Positioning errors were estimated to be about 0.5 m in X direction, 0.8 m in Y direction, and 2.5 deg in heading angle after 90 minute navigation. Therefore the method was successful in stable positioning while alternating between the moving role and the landmark role. Future works include the verification of the method using two AUVs in sea environment.
机译:在本文中,我们报告了先前报告中提出的用于多种海底调查的多种自主水下航行器(AUV)导航方法的实验结果。移动的AUV根据在海底保持静止的AUV(地标AUV)来估计其状态(水平位置和航向角)。移动的AUV降落在海底,并在完成围绕地标AUV的任务后将其有关估计状态的信息传输到地标AUV。此信息从“粒子群集”派生而来,以减少所需的通信数据大小,因为水下环境中的声音通信的典型数据速率太小,无法在合理的时间段内发送大量信息。为了验证此方法的性能,使用了AUV Tri-Dog1(TD)和虚拟AUV(DA)进行了海上试验。 TD成功绕过DA导航。 TD和DA使用其他车辆传输的状态信息来估计状态。 TD和DA还通过声学通信相互控制导航角色,移动角色和地标角色。结果,TD和DA交替了10次角色,同时共享了另一辆车估计的状态信息。发现状态的标准偏差在水平位置被抑制为约0.2m,在方位角上被抑制为约1.0度。导航90分钟后,定位误差在X方向上约为0.5 m,在Y方向上约为0.8 m,航向角约为2.5度。因此,该方法成功地实现了稳定定位,同时在移动角色和地标角色之间交替。未来的工作包括在海洋环境中使用两个AUV对方法进行验证。

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