Predictive Lateral Logic for Numerical Entry Guidance Algorithms
Predictive Lateral Logic for Numerical Entry Guidance Algorithms
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发表时间：
2016-02
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通讯作者：
Kelly M. Smith
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作者：
Kelly M. Smith
最近的进入制导算法开发123倾向于集中于船上轨迹的数字积分，以便评估候选银行概况。这种方法的好处是，对不同的任务轮廓具有灵活性，对大分散情况具有更好的稳健性。这些现代进入制导算法中的许多算法的共同元素是依赖于阿波罗传统横向误差(或方位角误差)死区的概念，其中要执行的存储体反转的数量是不确定的。本文提出了一种以飞行前定义的固定数目的存储体反转为操作的闭环存储体反转方法。然而，可以根据燃料泄漏等意外情况随时修改倾斜逆转的数量，包括在飞行中，在这些情况下，推进剂的使用量必须降至最低。
Recent entry guidance algorithm development123 has tended to focus on numerical integration of trajectories onboard in order to evaluate candidate bank profiles. Such methods enjoy benefits such as flexibility to varying mission profiles and improved robustness to large dispersions. A common element across many of these modern entry guidance algorithms is a reliance upon the concept of Apollo heritage lateral error (or azimuth error) deadbands in which the number of bank reversals to be performed is non-deterministic. This paper presents a closed-loop bank reversal method that operates with a fixed number of bank reversals defined prior to flight. However, this number of bank reversals can be modified at any point, including in flight, based on contingencies such as fuel leaks where propellant usage must be minimized.