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导弹与制导技术

基于IMM 模型的周期性跳跃运动高超声速飞行器跟踪算法

  • 何广军 ,
  • 李槟槟 ,
  • 何其芳 ,
  • 白云
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  • 1 空军工程大学信息与导航学院,西安 710077
    2 空军工程大学防空反导学院,西安 710051

何广军(1965-),男,陕西宝鸡人,博士研究生,研究方向:空天防御与系统工程。

收稿日期: 2014-10-14

  网络出版日期: 2025-05-26

A Tracking Algorithm for Hypersonic Vehicle withPeriodic Skip Trajectory Based on IMM

  • HE Guangjun ,
  • LI Binbin ,
  • HE Qifang ,
  • BAI Yun
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  • 1 Information and Navigation College, Air Force Engineering University, Xi'an 710077, China
    2 Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received date: 2014-10-14

  Online published: 2025-05-26

摘要

通过对临近空间高超声速飞行器的受力分析,建立了其周期性跳跃运动的数学模型,仿真分析了其运动特性;提出了一种加速度均匀变化的运动模型(constantdifferentialofacceleration,CDA),并与CV模型、CA模型交互,使用引入强跟踪滤波器的交互式多模型算法对周期性跳跃运动进行跟踪研究。结果表明,该跟踪算法比经典IMM算法有更好的跟踪精度。

本文引用格式

何广军 , 李槟槟 , 何其芳 , 白云 . 基于IMM 模型的周期性跳跃运动高超声速飞行器跟踪算法[J]. 弹箭与制导学报, 2015 , 35(1) : 37 -40 . DOI: 10.15892/j.cnki.djzdxb.2015.01.010

Abstract

Through force analysis on hypersonic vehicle, the motion model of periodic skip trajectory established, and through simulation periodic skip trajectory is analyzed. Then constant differential of acceleration (CDA) model is introduced, and strong tracking filter (STF) method is introduced into IMM algorithm. Research is done into tracking the periodic skip trajectory with the newly put forward algorithm. Simulations show that the new method has better tracking performance.

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参考文献

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