This paper presents an adaptive, simple, and effective guidance approach for hypersonic entry vehicles with high lift-to-drag (L/D) ratios (e.g., hypersonic gliding vehicles). The core of the constrained guidance approach is a closed-form, easily obtained, and computationally efficient feedback control law that yields the analytic bank command based on the well-known quasi-equilibrium glide condition (QEGC). The magnitude of the bank angle command consists of two parts, i.e., the baseline part and the augmented part, which are calculated analytically and successively. The baseline command is derived from the analytic relation between the range-to-go and the velocity to guarantee the range requirement. Then, the bank angle is augmented with the predictive altitude-rate feedback compensations that are represented by an analytic set of flight path angle needed for the terminal constraints. The inequality path constraints in the velocity-altitude space are translated into the velocity-dependent bounds for the magnitude of the bank angle based on the QEGC. The sign of the bank command is also analytically determined using an automated bank-reversal logic based on the dynamic adjustment criteria. Finally, a feasible three-degree-of-freedom (3DOF) entry flight trajectory is simultaneously generated by integrating with the real-time updated command. Because no iterations and no or few off-line parameter adjustments are required using almost all analytic processing, the algorithm provides remarkable simplicity, rapidity, and adaptability. A considerable range of entry flights using the vehicle data of the CAV-H is tested. Simulation results demonstrate the effectiveness and performance of the presented approach.

中文翻译：

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高超音速滑行车辆自适应进入诱导的解析反馈控制

本文提出了一种具有高升阻比（L / D）的高超声速进入车辆（例如，高超声速滑行车辆）的自适应，简单且有效的制导方法。约束制导方法的核心是闭合形式，易于获得且计算效率高的反馈控制律，该律基于已知的准平衡滑行条件（QEGC）得出分析库命令。倾斜角指令的大小包括两个部分，即基线部分和增大部分，它们是通过分析和连续计算得出的。基线命令是根据距离和速度之间的解析关系得出的，以保证范围要求。然后，倾斜角增加了预测性的高度速率反馈补偿，该补偿由终端约束所需的一组飞行路径角度的解析集表示。基于QEGC，将速度-高度空间中的不等式路径约束转换为倾斜角大小的速度相关边界。库命令的符号也可以根据动态调整标准使用自动库反转逻辑来分析确定。最后，通过与实时更新的命令集成，同时生成了可行的三自由度（3DOF）入口飞行轨迹。由于几乎所有分析处理都不需要迭代，也不需要或只需进行很少的离线参数调整，因此该算法可提供出色的简便性，快速性和适应性。使用CAV-H的车辆数据测试了相当多的入境航班。仿真结果证明了所提出方法的有效性和性能。