Simultaneous Trajectory Tracking and Obstacle Avoidance of a Quadrotor UAV

Hongbao Du, Zhengjie Wang*, Lixi Tang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Trajectory tracking is an important module in UAV motion planning, which enhances motion safety, but obstacles still threaten UAV. Therefore, the safety assurance of trajectory tracking is an important issue for a quadrotor UAV. Our work designs a lightweight simultaneous trajectory tracking and obstacle avoidance controller, which is developed based on exponential control barrier function. Obstacles are considered as constraints by using exponential control barrier function, and the square of the difference between the nominal control input and the actual control input is used as the objective function to construct a quadratic optimization problem. The advantage of this method is that it saves computing resources and has high real-time performance. Then, numerical simulations verify the effectiveness of the algorithm.

Original languageEnglish
Title of host publicationAutomatic Control and Emerging Technologies - Proceedings of ACET 2023
EditorsHassan El Fadil, Weicun Zhang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages495-505
Number of pages11
ISBN (Print)9789819701254
DOIs
Publication statusPublished - 2024
EventInternational Symposium on Automatic Control and Emerging Technologies, ACET 2023 - Kenitra, Morocco
Duration: 11 Jul 202313 Jul 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1141 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Symposium on Automatic Control and Emerging Technologies, ACET 2023
Country/TerritoryMorocco
CityKenitra
Period11/07/2313/07/23

Keywords

  • exponential control barrier function
  • obstacle avoidance
  • trajectory tracking
  • unmanned aerial vehicle

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