电子与控制

基于自适应IMM的高超声速飞行器轨迹预测

  • 翟岱亮 ,
  • 雷虎民 ,
  • 李炯 ,
  • 刘滔
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  • 空军工程大学 防空反导学院, 西安 710051
翟岱亮,男,博士研究生。主要研究方向:目标跟踪,信息融合。Tel.:029-84789435E-mail:quietzdl@126.com;雷虎民,男,博士,教授,博士生导师。主要研究方向:飞行器导航、制导与控制。Tel.:029-84789196E-mail:hmleinet@21cn.com;李炯,男,博士,副教授,硕士生导师。主要研究方向:飞行器导航、制导与控制。Tel.:029-84789192E-mail:graceful001@126.com;刘滔,男,博士研究生。主要研究方向:飞行器导航、制导与控制。Tel.:029-84789435E-mail:ltloveder@sina.com

收稿日期: 2015-11-19

  修回日期: 2016-02-17

  网络出版日期: 2016-03-03

基金资助

国家自然科学基金(61573374,61503408);航空科学基金(20150196006,20140196004)

Trajectory prediction of hypersonic vehicle based on adaptive IMM

  • ZHAI Dailiang ,
  • LEI Humin ,
  • LI Jiong ,
  • LIU Tao
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  • School of Air and Missile Defense, Air Force Engineering University, Xi'an 710051, China

Received date: 2015-11-19

  Revised date: 2016-02-17

  Online published: 2016-03-03

Supported by

National Natural Science Foundation of China (61573374, 61503408); Aeronautical Science Foundation of China (20150196006, 20140196004)

摘要

为了给基于预测命中点法的高超声速飞行器中制导拦截提供先验知识,提出高超声速飞行器的轨迹预测方法。首先,给出高超声速环境下与目标姿态近似线性的气动参数;其次,针对气动参数作控制量的运动模型,设计自适应交互多模型(IMM)跟踪算法,并进行性能有效性验证;然后,根据气动参数特性和目标假设机动方式,设计基于最小二乘拟合的轨迹预测方法。通过对目标轨迹进行跟踪和预测仿真,预测100 s的位置误差均小于5 km,速度误差均小于100 m/s,结果表明基于自适应IMM的轨迹预测方法对有规律机动的目标进行轨迹预测,效果良好。

本文引用格式

翟岱亮 , 雷虎民 , 李炯 , 刘滔 . 基于自适应IMM的高超声速飞行器轨迹预测[J]. 航空学报, 2016 , 37(11) : 3466 -3475 . DOI: 10.7527/S1000-6893.2016.0044

Abstract

To afford the prior information for intercepting the hypersonic vehicle through midcourse guidance based on predicted impact point, a strategy for trajectory prediction of the hypersonic reentry-glide vehicle is proposed. A set of aerodynamic parameters, which are linearly related to the target attitude, is given. The adaptive interactive multiple model (IMM) tracking algorithm is developed based on the dynamic model with aerodynamic parameters being the control input. The effectiveness of the algorithm is verified. Considering the linear characteristic of the parameters and the supposed maneuvering manners of the target, a method for trajectory prediction based on the least-square fitting is developed. Simulations show that in 100 s, the predicted position errors are less than 5 km, and the predicted velocity errors are less than 100 m/s, proving the effectiveness of the strategy in predicting the trajectories of regular maneuvering targets.

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