Energy-Optimal Waypoint-Following Guidance Law Considering Autopilot Dynamics

Shaoming He*, Chang Hun Lee, Hyo Sang Shin, Antonios Tsourdos

*此作品的通讯作者

科研成果: 书/报告/会议事项章节章节同行评审

摘要

This chapter addresses the problem of energy-optimal waypoint-following guidance for a UAV with the consideration of a general autopilot dynamics model. The proposed guidance law is derived as a solution of a linear quadratic optimal control problem in conjunction with a linearized kinematics model. The algorithm developed integrates path planning and following into a single step and is able to be applied to a general waypoint-following mission. Theoretical analysis reveals that previously suggested optimal point-to-point guidance laws are special cases of the proposed approach. Nonlinear numerical simulations clearly demonstrate the effectiveness of the proposed formulations.

源语言英语
主期刊名Springer Aerospace Technology
出版商Springer Nature
175-198
页数24
DOI
出版状态已出版 - 2020

出版系列

姓名Springer Aerospace Technology
ISSN(印刷版)1869-1730
ISSN(电子版)1869-1749

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引用此

He, S., Lee, C. H., Shin, H. S., & Tsourdos, A. (2020). Energy-Optimal Waypoint-Following Guidance Law Considering Autopilot Dynamics. 在 Springer Aerospace Technology (页码 175-198). (Springer Aerospace Technology). Springer Nature. https://doi.org/10.1007/978-3-030-47348-8_9