Reentry Trajectory Planning Optimization Based on Sequential Quadratic Programming
An optimal trajectory is very important to reusable launch vehicle (RLV) which facing the critical heating and aero force in reentry environment. The trajectory planning is a typical large scale and multi-constraint optimization problem. In this paper, an optimal trajectory planning for RLV from the beginning upper atmosphere state to lower atmosphere site with the minimum accumulated heat load or maximum range under multi-constraint reentry condition is studied. To achieve this goal, the dynamics of RLV is first described and the cost function of the optimal problem is formulated with multi reentry constraints. Then, a series of discrete trajectory points were designed on reentry corridor. The process of searching the optimized trajectory for RLV with the Sequential Quadratic Programming(SQP) is proposed. This algorithm is implemented on a RLV which similar the X-33 and its validity is proven by simulation result.
terms-reentry trajectory planning optimization reusable launch vehicle (RLV) SQP
Zhang Qingzhen Gao Chen Guo Fei Ren Zhang
School of Automation Science and Electronic Engineering Bei Hang University,Beijing,China
国际会议
深圳
英文
1026-1030
2008-12-10（万方平台首次上网日期，不代表论文的发表时间）