基于改进的蚁群算法的亚轨道再入飞行器弹道优化
기우개진적의군산법적아궤도재입비행기탄도우화
Modified Ant Colony Algorithm-Based Reentry Trajectory Optimization for Suborbital Launch Vehicle
  • 万方数据
    宇航学报 우항학보
    JOURNAL OF ASTRONAUTICS
    2011年 6期 1244-1248 ,共5页

    张斌%关世义%陈士橹

    장빈%관세의%진사로

    优化%蚁群算法%LQR%再入 優化%蟻群算法%LQR%再入
    우화%의군산법%LQR%재입
    Optimization%Ant colony optimization algorithm%LQR%Reentry
    基于阻力与能量再入导引律,用改进的蚁群算法优化SLV再入阻力-能量关系剖面,其优化的性能指标为总吸热量最小,并采用LQR法跟踪参考弹道.仿真结果表明,优化方法简便易行,跟踪器性能良好.
    기우조력여능량재입도인률,용개진적의군산법우화SLV재입조력-능량관계부면,기우화적성능지표위총흡열량최소,병채용LQR법근종삼고탄도.방진결과표명,우화방법간편역행,근종기성능량호.
    Based on the drag-energy guidance law, a modified ant colony optimization algorithm is used to optimize the drag-energy profile and its cost function is to minimize the total heat load for the SLV reentry trajectory. A LQR trajectory control law is used to track the reference trajectory. Flight simulation results demonstrate feasibility and effectiveness of the method.
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