Controllable-structure Semi-ballistic Reentry Vehicle Tracking and Space-filling Model-set Design
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摘要: 由于再入过程中结构变化的未知以及流场等不确定因素的影响, 可变结构半弹道式再入飞行器(Semi-ballistic reentry vehicle, SBRV)的模式及其变化方式通常也是未知的. 本文在分析可控结构SBRV再入运动特征以及模式特征的基础上, 提出了充满模式空间的模型集, 新模型集根据Hicknell准则设计, 该模型集与Monte Carlo法生成的模型集相比不但具有更高的可信度和精度, 而且对机动的反应更灵敏. 理论分析和仿真结果证明了这种充满空间的模型集对于该机动跟踪问题的合理性与有效性.
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关键词:
- 半弹道式再入飞行器 /
- 混合系统 /
- 多模型方法 /
- Monte Carlo法 /
- 充满空间的模型集
Abstract: Due to uncertainty in structure and uncertainty of flow field, the mode of the controllable-structure semi-ballistic reentry vehicle (SBRV) is usually unknown. Based on the analysis of the characteristics of the controllable-structure SBRV's motion and mode, the space-filling model set is proposed. The new model set is designed according to Hicknell's criterion. Compared with the model set generated by the Monte Carlo method, the new model set has a higher credibility and a smaller estimation error, and is more sensitive to maneuver. Theoretical analysis and simulation results show the reasonableness and efficiency of the space-filling model set for the maneuver tracking problem.
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