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Multiple Model-Based Synchronization Approaches for Time Delayed Slaving Data in a Space Launch Vehicle Tracking System

机译：航天器跟踪系统中基于时间延迟从属数据的基于模型的同步方法

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摘要

Due to the inherent characteristics of the flight mission of a space launch vehicle (SLV), which is required to fly over very large distances and have very high fault tolerances, in general, SLV tracking systems (TSs) comprise multiple heterogeneous sensors such as radars, GPS, INS, and electrooptical targeting systems installed over widespread areas. To track an SLV without interruption and to hand over the measurement coverage between TSs properly, the mission control system (MCS) transfers slaving data to each TS through mission networks. When serious network delays occur, however, the slaving data from the MCS can lead to the failure of the TS. To address this problem, in this paper, we propose multiple model-based synchronization (MMS) approaches, which take advantage of the multiple motion models of an SLV. Cubic spline extrapolation, prediction through an alpha-beta-gamma filter, and a single model Kalman filter are presented as benchmark approaches. We demonstrate the synchronization accuracy and effectiveness of the proposed MMS approaches using the Monte Carlo simulation with the nominal trajectory data of Korea Space Launch Vehicle-I.
机译：由于太空飞行器（SLV）的飞行任务的固有特性，要求其在非常长的距离内飞行并具有很高的容错能力，因此，一般而言，SLV跟踪系统（TS）包含多个异构传感器，例如雷达，GPS，INS和光电瞄准系统安装在广泛的区域。为了不间断地跟踪SLV并正确地在TS之间切换测量范围，任务控制系统（MCS）通过任务网络将从站数据传输到每个TS。但是，当发生严重的网络延迟时，来自MCS的从机数据可能会导致TS发生故障。为了解决这个问题，在本文中，我们提出了多种基于模型的同步（MMS）方法，它们利用了SLV的多种运动模型。三次样条外推，通过alpha-beta-gamma滤波器的预测以及单个模型Kalman滤波器均作为基准方法。我们使用蒙特卡罗模拟和韩国航天运载火箭-I的名义轨迹数据证明了所提出的MMS方法的同步精度和有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第8期|9319282.1-9319282.12|共12页
  • 作者

    Song Haryong; Choi Yongtae;

  • 作者单位

    Korea Aerosp Res Inst, Flight Safety Technol Team, 169-84 Gwahangno, Daejeon 305806, South Korea;

    Korea Aerosp Res Inst, Flight Safety Technol Team, 169-84 Gwahangno, Daejeon 305806, South Korea;

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