A Hybrid Optimization Method for Reentry Trajectory of Space Plane Based on Subset Simulation Optimization
ZHU Junjie;YU Xiongqing;Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle;Nanjing University of Aeronautics and Astronautics;
A new stochastic optimization algorithm named as subset simulation optimization( SSO) is adopted to improve efficiency and robustness of the hybrid optimization method for space plane reentry trajectory in this paper. Firstly,the subset simulation optimization algorithm is utilized for global searching with appropriate iteration steps in the entire design space. Secondly,the optimal result generated by applying the SSO is used as the initial values. Finially,the sequential quadratic programming optimization algorithm is used to find the final optimization results after convergence. Moreover,a case study is used to validate the proposed method. The results indicate that the reentry trajectory optimization problem can be robustly solved with less computational burden for the various precision requirements.
【CateGory Index】： V412.44