Low-cost adaptive obstacle avoidance trajectory control for express delivery drone

Fuente: arXiv
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Main Authors: Zhang, Yanhui, Wei, Caisheng, Zhang, Yifan, Tian, Congcong, Chen, Weifang
Format: Preprint
Published: 2024
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_version_ 1866910389886779392
author Zhang, Yanhui
Wei, Caisheng
Zhang, Yifan
Tian, Congcong
Chen, Weifang
author_facet Zhang, Yanhui
Wei, Caisheng
Zhang, Yifan
Tian, Congcong
Chen, Weifang
contents This paper studies quadcopters obstacle avoidance trajectory control (OATC) problem for express delivery. A new nonlinear adaptive learning controller that is low-cost and portable to different wheelbase sizes is proposed to adapt to large-angle maneuvers and load changes in UAV delivery missions. The controller consists of a nonlinear variable gain (NLVG) function and an extreme value search (ES) algorithm to reduce overshoot and settling time. Finally, simulations were conducted on a quadcopter to verify the effectiveness of the proposed control scheme under two typical collision-free trajectories.
format Preprint
id arxiv_https___arxiv_org_abs_2403_19956
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Low-cost adaptive obstacle avoidance trajectory control for express delivery drone
Zhang, Yanhui
Wei, Caisheng
Zhang, Yifan
Tian, Congcong
Chen, Weifang
Systems and Control
This paper studies quadcopters obstacle avoidance trajectory control (OATC) problem for express delivery. A new nonlinear adaptive learning controller that is low-cost and portable to different wheelbase sizes is proposed to adapt to large-angle maneuvers and load changes in UAV delivery missions. The controller consists of a nonlinear variable gain (NLVG) function and an extreme value search (ES) algorithm to reduce overshoot and settling time. Finally, simulations were conducted on a quadcopter to verify the effectiveness of the proposed control scheme under two typical collision-free trajectories.
title Low-cost adaptive obstacle avoidance trajectory control for express delivery drone
topic Systems and Control
url https://arxiv.org/abs/2403.19956