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Three-dimensional Optimal Path-Point Following Guidance for Unmanned Aerial Vehicles

  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This article investigates the problem of UAV tracking three-dimensional trajectory and an optimal guidance law is proposed to guarantee minimum energy consumption. Based on optimal control theory, we first derive two-dimensional optimal path-point tracking guidance law. Then, the guidance approach is extended to three-dimensional for real application. The proposed method first calculates feature points of the pre-designated trajectory, and then guides the UAV to sequentially pass feature points to track the expected trajectory. The energy optimization can be proved by theoretical analysis and the numerical simulation results also indicate that the pro-posed method is feasible.

Original languageEnglish
Title of host publicationFirst Aerospace Frontiers Conference, AFC 2024
EditorsHan Zhang
PublisherSPIE
ISBN (Electronic)9781510681613
DOIs
Publication statusPublished - 2024
Event1st Aerospace Frontiers Conference, AFC 2024 - Xi'an, China
Duration: 12 Apr 2024 → 15 Apr 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13218
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference1st Aerospace Frontiers Conference, AFC 2024
Country/TerritoryChina
CityXi'an
Period12/04/24 → 15/04/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy optimization
  • Feature points
  • Guidance law
  • Trajectory tracking
  • UAV

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