基于多学科设计优化算法的再入轨迹优化设计

传统的再入轨迹优化问题通常是在气动外形和质量等总体参数给定的情况下建立起来的。所设计的最优轨迹从飞行力学的角度来看是最优的，但从系统角度来看未必是最优的。在总体初步设计阶段，考虑气动外形和质量等其他学科影响的再入轨迹优化对于提高RLV的系统性能无疑具有重要意义。此时再入轨迹优化将是一个静态，动态多学科混合优化问题。以球头双锥的升力体构型RLV为例，以最小化热防护系统质量和最大横向机动距离为指标，采用两种典型的多学科优化算法来研究考虑气动外形、轨迹和热防护系统三个学科的再入轨迹优化设计问题。仿真结果表明多学科优化算法能够用来求解静态，动态多学科混合优化的再入轨迹优化设计问题，是RLV初步外形设计和任务轨迹规划的重要工具。

Multidisciplinary Design Optimization of Reentry Trajectory

The conventional reentry trajectory optimization problem is build on given aerodynamic configuration and total mass.It can be transformed into an optimal control problem.The designed trajectory is optimal in the view of flight dynamics but maybe not in the system.In the preliminary design of a reentry Vehicle,it is important and valuable to take the effects of aerodynamic configuration and mass into account.So the reentry trajectory optimization problem will be a mixed static /dynamic optimal problem.Investigated bi-conic configuration and select the minimum mass of the thermal protect system(TPS)and maximum crossrange as objectivities.Used two kinds of MDO algorithms,AIO and CO,to solve the reentry optimization problem including aerodynamic configuration,flight dynamics and TPS.The results indicate that AIO and CO algorithm can lead to the similar results,which has good performance,and MDO algorithm is an important tool for the preliminary configuration design and mission plan of the RLV.