Trajectory Prediction Based on Damped Oscillation Model

Xinpeng Xu, Jianguo Guo, Mengxuan Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to track and predict the dynamic trajectory of hypersonic vehicle, with the analysis of the general characteristic of the trajectory, a new trajectory prediction algorithm by utilizing the attenuation oscillation model is provided in the paper. Firstly, the continuous time state equation of the damped oscillation model is derived and the unscented Kalman filter is given. Secondly, the optimal maneuver model is determined by matching the tracking acceleration result with the acceleration model to predict the trajectory of a glide vehicle in the unknown conditions. Finally, the simulation results can be shown that the precision of the new model is better than the traditional kinematics model. Through the combination of denoising and prediction model, the acceleration of the vehicle is more effective to reconstruct the future trajectory of hypersonic vehicle with a good research prospect and potential application value.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 17
EditorsLiang Yan, Haibin Duan, Yimin Deng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages86-95
Number of pages10
ISBN (Print)9789819622634
DOIs
StatePublished - 2025
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1353 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2024
Country/TerritoryChina
CityChangsha
Period9/08/2411/08/24

Keywords

  • Damped Oscillation model
  • Trajectory Prediction

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