再入飞行器平稳滑翔可达区域计算分析

Footprint Generation of Steady Glide Reentry Vehicle

提出了一种能够保证再入过程平稳滑翔的控制量的优化策略;该方法通过准平衡滑翔条件求取指令弹道倾角,然后将实际的弹道倾角与指令弹道倾角的反馈项添加到控制量上,从而抑制再入轨迹的跳跃,然后采用遗传算法来求解一系列的轨迹优化问题;最后,对该方法进行了仿真验证分析,仿真结果表明:该方法在轨迹优化过程中能有效的抑制再入轨迹的跳跃,使飞行器再入段的高度变化平稳,有助于降低飞行器的最大热流密度,并且可达区域的计算方法合理可行。

An optimization strategy of the control was proposed which could ensure the vehicle to steady glide in entry. This method obtained the command path angel by quasi-equilibrium gliding conditions, and then added the feedback term of command path angel to the bank angle, thereby, the oscillation of trajectory could be restrained. Then we used genetic algorithm to solve a series of trajectory optimization problems. Numerical simulations was performed, and the simulation results show that this method can effectively damp the oscillation of reentry trajectory during the trajectory optimization process, so that the altitude of the vehicle in entry changes smoothly and helps to reduce the maximum heat flux density. Meanwhile, the method of footprint generation of reentry vehicle is reasonable and feasible.