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<p>This paper presents a comprehensive center of mass dynamics model that incorporates the perturbations caused by aerodynamic lift, drag, and lateral force. Additionally, a MdSGP4 model based on the GKUA algorithm and Automatic differentiation Algorithm is proposed for accurate orbit prediction during both the rapid descent phase (above 250&#xa0;km average orbital altitude) and slow decay phase. Establishing a coupled algorithm of N-S/DSMC for correcting aerodynamic coefficients in the near continuous transition flow zone real-time calculation of aerodynamic forces is employed to enhance fusion orbit modeling. Furthermore, parameter identification methods are integrated with the MdSGP4 perturbation model to refine its accuracy. Simulation results demonstrate that considering aerodynamic lift and lateral force as significant factors in flight trajectory significantly improves predictions for uncontrolled falling spacecrafts. The six-degree-of-freedom orbit model ensemble established in this study using the MSGP4 model and Unscented Kalman Filtering accurately predicts flight trajectory information for target spacecrafts, providing precise models for reentry flight path prediction of uncontrolled falling spacecrafts.</p>

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Study on six DOF for on orbit flight life prediction of low orbit vehicle aerodynamic fusion orbit

  • 期刊论文

  • 发表日期：

    2025年12月4日

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  • Yu-Ming Guan,
  • Zhi-Hui Li

摘要

This paper presents a comprehensive center of mass dynamics model that incorporates the perturbations caused by aerodynamic lift, drag, and lateral force. Additionally, a MdSGP4 model based on the GKUA algorithm and Automatic differentiation Algorithm is proposed for accurate orbit prediction during both the rapid descent phase (above 250 km average orbital altitude) and slow decay phase. Establishing a coupled algorithm of N-S/DSMC for correcting aerodynamic coefficients in the near continuous transition flow zone real-time calculation of aerodynamic forces is employed to enhance fusion orbit modeling. Furthermore, parameter identification methods are integrated with the MdSGP4 perturbation model to refine its accuracy. Simulation results demonstrate that considering aerodynamic lift and lateral force as significant factors in flight trajectory significantly improves predictions for uncontrolled falling spacecrafts. The six-degree-of-freedom orbit model ensemble established in this study using the MSGP4 model and Unscented Kalman Filtering accurately predicts flight trajectory information for target spacecrafts, providing precise models for reentry flight path prediction of uncontrolled falling spacecrafts.