基于正交试验的RLV再入轨迹参数灵敏度分析

摘要

For the analysis of the RLV reentry process parameters that affect the dynamic performances of reentry,based on the theory of orthogonal DOE,the paper used poor analysis to research the sensitivity of seven key parameters to the influence of RLV reentry process.The results verified peak heat flux,peak dynamic pressure,peak load and total heat is the most sensitive to initial velocity and mass,besides,the coupling sensitivities among mass,initial heading angle,constant lift coefficient and initial height are higher.Advise to improve the precision of initial velocity and mass,while other parameters of low sensitivity can be less precise,so as to improve the vehicle's performances with reducing the development cost and ensuring the safety and reliability of reentry flight.The methods,not restricted by the system model,can reduce the workload of test operation and data processing,which can be further used to evaluate the robustness of guidance and control algorithm,to analyse the parameter sensitivity for non-linear and non-continuous RLV dynamic reentry,so as to provide theoretical support for reentry mission planning.%为分析RLV再入过程中参数对再入动态性能的影响,基于正交试验设计理论,运用极差分析法对影响RLV再入过程的7项重点参数开展灵敏度研究,仿真试验结果表明峰值热流、峰值动压、峰值过载和总加热量对初始速度和质量最为敏感,质量、初始航迹偏角、常值升力系数和初始高度之间的耦合灵敏度较大;提高初始速度和质量的精度,其它灵敏度较低的参数可适当放宽精度,从而提高飞行器性能,降低飞行器研制成本,确保再入飞行的安全性和可靠性;该方法不受系统模型限制,能减少试验运算和数据处理工作量,可有效应用于非线性、不连续的RLV动态再入过程制导算法鲁棒性评估和参数灵敏度分析,为再入任务规划提供理论支撑.