Performance of Evolved Acceleration Guidance Logic for Entry (eagle)
نویسندگان
چکیده
This paper presents the design and performance of Evolved Acceleration Guidance Logic for Entry (EAGLE), an algorithm intended for future space transportation vehicles. The most distinguishing feature of EAGLE is its ability to plan a three-dimensional trajectory and thereby handle large crossrange entries. EAGLE consists of two integrated components: a trajectory planner and a tracking law. The planner generates reference drag acceleration and lateral acceleration profiles, along with the reference state and bank angle profiles. The tracking law, based on feedback linearization, commands the angles of bank and attack required to follow the reference drag and heading profiles. In this paper we discuss the planner and tracking law and present simulation results indicating the performance of EAGLE. Extensive simulations of a broad range of return-from-orbit entries show that EAGLE achieves the desired target with final position and heading errors within allowable tolerances.
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