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Collision Avoidance Visual Coverage Control of Multiple Second-Order Mobile Aerial Agents

  • Ye Wang
  • , Junjie Fu
  • , Meiqi Tang
  • , Shuai Wang
  • , Guanghui Wen
  • Southeast University, Nanjing
  • Purple Mountain Laboratories

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

Abstract

This work investigates the collision avoidance visual coverage control problem of multiple second-order Mobile Aerial Agents (MAAs). When performing coverage control tasks, MAAs need to consider both the sensing model and the sensing quality. An integrated coverage performance function is defined to evaluate the coverage effect. For the coverage control problem, a novel distributed control law is proposed to drive the second-order MAA system to converge to a locally optimal coverage configuration, and the stability of the corresponding coverage control system is proven by introducing a Lyapunov-like function. Moreover, a potential function term is employed to avoid collision between the MAAs and improve the safety performance of the system. Finally, numerical examples are given which demonstrate the effectiveness and practicality of the proposed control law.

Original languageEnglish
Title of host publication2023 8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages439-444
Number of pages6
ISBN (Electronic)9798350300178
DOIs
StatePublished - 2023
Event8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023 - Sanya, China
Duration: 8 Jul 202310 Jul 2023

Publication series

Name2023 8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

Conference

Conference8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023
Country/TerritoryChina
CitySanya
Period8/07/2310/07/23

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