Three-dimensional optimal path-point following guidance for unmanned aerial vehicles

Zhichao Li; Jiang Wang; Hongyan Li; Jinxi Yang

doi:10.1117/12.3032564

16 August 2024 Three-dimensional optimal path-point following guidance for unmanned aerial vehicles

Zhichao Li, Jiang Wang, Hongyan Li, Jinxi Yang

Proceedings Volume 13218, First Aerospace Frontiers Conference (AFC 2024); 1321810 (2024) https://doi.org/10.1117/12.3032564
Event: First Aerospace Frontiers Conference (AFC 2024), 2024, Xi’an, China

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhichao Li, Jiang Wang, Hongyan Li, and Jinxi Yang "Three-dimensional optimal path-point following guidance for unmanned aerial vehicles", Proc. SPIE 13218, First Aerospace Frontiers Conference (AFC 2024), 1321810 (16 August 2024); https://doi.org/10.1117/12.3032564

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