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  • 标题:Tracking and Interception of a Spiralling Ballistic Target on Reentry
  • 本地全文:下载
  • 作者:Aastha Dak ; Rahul Radhakrishnan
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:1
  • 页码:339-344
  • DOI:10.1016/j.ifacol.2022.04.056
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractInterception of the high velocity spiralling target requires accurate estimation of their relative states. In this work, the dynamics of spiralling target is modelled by representing the target acceleration through sinusoidal function in the inertial frame. A system model which consists of nine state variables is considered here with the three relative positions, three relative velocities, inverse of ballistic coefficient, manoeuvring coefficient and spiralling frequency of target. Non-linear state estimators, namely the unscented Kalman filter (UKF), new sigma point Kalman filter (NSKF) and cubature Kalman filter (CKF), are applied to track the spiralling target using the measurements obtained from an inbuilt seeker of the interceptor missile. Further, the estimated states are provided to a guidance block for generating interceptor missile accelerations. Performance comparison of state estimators in combination with PNG law is done by calculating the root mean square error(RMSE) of relative states and average miss-distance.
  • 关键词:KeywordsKalman filteringGuidanceinterceptionPNG lawMiss-distanceNon-linear filtering
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