首页> 外文会议>Saint Petersburg international conference on integrated navigation systems >DEVELOPMENT OF AUTONOMOUS UNDERWATER VEHICLE NAVIGATION SYSTEM BASED ON KALMAN FILTERING TECHNIQUE
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DEVELOPMENT OF AUTONOMOUS UNDERWATER VEHICLE NAVIGATION SYSTEM BASED ON KALMAN FILTERING TECHNIQUE

机译:基于卡尔曼滤波技术的水下机器人自主导航系统的开发

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The research on underwater systems has gained an immense interest during the last decades with applications taken place in many fields. Therefore, the significant number of underwater vehicles (UVs) has been developed for the solving of wide spectrum of scientific and applied tasks of sea research and development in the world. AUVs require a precise navigation system for localization, positioning, path tracking, guidance, and control during long period of duty cycle. In order to develop an accurate and robust navigation system for an AUV, we need to derive overall modeling of AUV. This article is basically focused on dynamic modeling of high speed Autonomous Underwater Vehicle (A UV) and development of integrated navigation system based on Kalman filtering technique.
机译:在过去的几十年中,水下系统的研究引起了广泛的兴趣,并在许多领域得到了应用。因此,为解决世界范围内海洋研究与开发的广泛科学和应用任务,已经开发了大量的水下航行器(UVs)。 AUV要求精确的导航系统,以在较长的工作周期内进行定位,定位,路径跟踪,引导和控制。为了开发用于AUV的准确而强大的导航系统,我们需要导出AUV的整体模型。本文主要侧重于高速自主水下航行器(A UV)的动态建模以及基于卡尔曼滤波技术的集成导航系统的开发。

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