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空天变构飞行器气动-控制耦合优化设计方法

AERODYNAMIC-CONTROL COUPLED OPTIMIZATION DESIGN METHOD FOR MORPHING AEROSPACE VEHICLES

  • 摘要: 空天飞行器自主往返需要跨越大气层与临近空间并实现全程自主飞行, 是发展可重复使用、低成本航天运输系统的重要技术途径. 针对宽速域飞行过程中变形引发的强非线性气动效应, 以及气动特性与控制特性高度耦合所带来的稳定性和可控性问题, 本文提出一种面向变形策略的空天变构飞行器气动-控制耦合优化设计方法. 在概念设计阶段引入多学科设计优化思想, 对气动性能与控制性能进行统一评估, 实现多部位协同变形策略的优化选择. 以简化X-33布局为研究对象, 选取机翼上反角、翼尖偏转与机翼扭转角作为组合变形设计变量, 针对 Ma = 0.6 、 Ma = 2.5 和 Ma = 5 三种典型飞行状态开展优化设计, 分别对应自主起降亚声速段、跨域加速超声速段和高超声速再入关键段. 采用NSGA-II算法, 以减阻、缩短调节时间以及提高增益裕度为优化目标. 优化结果显示, 不同飞行状态下的最优变形策略呈现速度适配特征: 亚声速和超声速条件下主要表现为机翼及翼尖上反并伴随机翼下扭转, 而高超声速条件下则转变为机翼上反角减小、翼尖小幅上偏与机翼下扭转的组合形式. 在亚声速和超声速条件下, 阻力系数分别降低约16%和12%, 调节时间缩短约3%和24%, 增益裕度分别提高约14%和5%; 高超声速条件下, 升阻比提高约1.92%, 调节时间与增益裕度略有改善, 表明所提方法能够在宽速域条件下实现变形策略、气动性能与纵向控制性能的协同权衡, 可为空天变构飞行器自主往返任务中的变形策略设计及气动-控制协同优化提供参考.

     

    Abstract: Autonomous round-trip flight of aerospace vehicles, which requires traversing the atmosphere and near space with full-mission autonomy, is an important technical approach for developing reusable and low-cost space transportation systems. To address the strong nonlinear aerodynamic effects induced by morphing during wide-speed-range flight, as well as the stability and controllability issues caused by the high coupling between aerodynamic and control characteristics, this paper proposes an aerodynamic-control coupled optimization design method for morphing aerospace vehicles oriented to morphing strategy design. In the conceptual design stage, the multidisciplinary design optimization concept is introduced to conduct a unified evaluation of aerodynamic and control performance, thereby enabling the optimal selection of coordinated multi-component morphing strategies. Taking a simplified X-33 configuration as the study object, the wing dihedral angle, wingtip deflection, and wing twist angle are selected as combined morphing design variables. The optimization is carried out at three representative flight conditions, Ma = 0.6 , Ma = 2.5 , and Ma = 5 , corresponding to the subsonic autonomous takeoff-and-landing segment, the supersonic cross-regime acceleration segment, and the key hypersonic reentry segment, respectively. The non-dominated sorting genetic algorithm II (NSGA-II) is employed, with drag reduction, settling-time reduction, and gain-margin enhancement as the optimization objectives. The optimization results show that the optimal morphing strategies exhibit speed-adaptive characteristics under different flight conditions: under subsonic and supersonic conditions, they are mainly characterized by upward wing and wingtip deflections accompanied by downward wing twist, whereas under hypersonic conditions, they shift to a combination of reduced wing dihedral angle, slight upward wingtip deflection, and downward wing twist. Under subsonic and supersonic conditions, the drag coefficient is reduced by about 16% and 12%, respectively, the settling time is shortened by about 3% and 24%, respectively, and the gain margin is increased by about 14% and 5%, respectively; under hypersonic conditions, the lift-to-drag ratio is increased by about 1.92%, while the settling time and gain margin are slightly improved. These results indicate that the proposed method can achieve a coordinated trade-off among morphing strategy, aerodynamic performance, and longitudinal control performance over a wide speed range, providing a useful reference for morphing strategy design and aerodynamic-control collaborative optimization of morphing aerospace vehicles in autonomous round-trip missions.

     

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