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作 者:薛光伟 辛万青 傅瑜 XUE Guangwei;XIN Wanqing;FU Yu(Beijing Institute of Astronautical Systems Engineering,Beijing 100076,China;China Academy of Launch Vehicle Technology,Beijing 100076,China)
机构地区:[1]北京宇航系统工程研究所,北京100076 [2]中国运载火箭技术研究院,北京100076
出 处:《弹道学报》2023年第2期1-8,共8页Journal of Ballistics
摘 要:针对升力式飞行器再入过程中面临未知干扰与拦截的问题,设计了一种再入飞行器的能量优化分配再入轨迹,并提出了该轨迹的快速规划方法。首先,将再入轨迹分为初始下降段、能量最优段和能量管理段,设计了能量最优段按照最省能量方式飞行,剩余能量集中在能量管理段消耗的飞行模式,推导了能量管理段在平衡滑翔条件下,完成能量管理所需最短轨迹长度的解析表达式。然后,设计了初始下降段和能量最优段规划方法,提出了能量管理段和能量最优段平滑过渡迭代算法,结合倾侧角翻转技术,通过规划两次倾侧角翻转消除横向射程误差与航向角误差,构建了能量管理段规划方法,形成了能量优化分配再入轨迹一体化生成技术。最后,对能量优化分配再入轨迹的性能和规划方法进行了仿真验证。结果表明,提出的能量优化分配再入轨迹能够有效增大飞行器应对干扰拦截的能量裕度,构建的快速规划方法能够快速完成轨迹规划,具有较强的工程应用价值。In order to improve the adaptability of lift reentry vehicle(LRV)when facing unknown disturbance and interception during reentry,an algorithm based on energy allocation optimization for trajectory planning was designed.First,The reentry phase was divided into three sub-phases:initial descend phase(IDP),energy optimal phase(EOP)and energy manage phase(EMP).A flight mode was proposed in which LRV flies in the most energy saving way during EOP,and the remaining energy is consumed in EMP.The analytical expression of the shortest trajectory length required by EMP under the equilibrium glide condition was derived.Then,the IDP and EOP program algorithms were designed,and the analytical solution of EMP range was derived,based on which an iterative algorithm was developed for the smooth transition between EOP and EMP.Integrating with bank angle flip technique,an EMP programming algorithm was designed,in which two bank angle reversals were programmed to eliminate the lateral range error and heading angle error.Finally,a rapid planning algorithm for energy allocation optimized trajectory(EAOT)was constructed and verified by simulation.According to the simulation result,the proposed EAOT can increase the energy margin for LRV confronted with disturbance and interception,and the designed planning algorithm can complete trajectory planning rapidly,possessing an appealing application value in engineering.
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