再入机动飞行器最优轨迹设计与跟踪

提出了一种再入机动飞行器（maneuvering reentry vehicle, MRV）的最优制导与控制方案。针对MRV再入机动轨迹优化问题，提出了新的基于Gauss伪谱优化方法的分段优化策略；由产生的最优参考轨迹，生成系统的外环最优制导指令。接着利用轨迹线性化控制（trajectory linearization control, TLC）方法设计系统的内环控制律。基于MRV完整的非线性六自由度模型，仿真表明提出的再入轨迹优化设计方法是有效的，而且内环TLC控制器可以准确地跟踪外环的最优制导指令和最优轨迹，并对系统未建模特性和参数不确定性具有一定的鲁棒性能。

Optimal trajectory design and tracking for maneuver reentry vehicles

An optimal guidance and control architecture for a maneuvering reentry vehicle (MRV) is proposed. Based on the Gauss pseudospectrum method, a new multi-phases optimization strategy is proposed to deal with the difficulties in the optimization of maneuvering trajectory for MRV. Out-loop optimal guidance commands are generated from the resulted optimal reference trajectory. The inner-loop control law is designed based on the trajectory linearization control (TLC) method. Using the full nonlinear six degree-of-freedom model of the MRV, the simulation results show that the trajectory optimization method is effective, and the TLC controller of the inner-loop is able to track the maneuver command and the optimized trajectory accurately and robustly in the presence of unmodeled dynamics and parametric uncertainties.