Heterogeneous UAV Tracking Cooperative Control with Distributed Adaptive Consensus

Yupeng He, Deyun Zhou, Yang Liu

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

Abstract

This paper proposes a distributed adaptive heterogeneous UAV cluster cooperative control system, which designs the unmanned system as a multi-level architecture. A consensus control algorithm for linear systems and a control model for nonlinear systems are combined. Considering the cluster formation control protocol of both quadrotor and fixed-wing aircraft dynamics models, a nonlinear model predictive control and an adaptive LQR flight controller are presented. A consistent control trajectory generation algorithm considering the dynamic constraints of heterogeneous UAVs is proposed, and the conditions for the cooperative control layer to achieve consistent control are given. Finally, combined with model predictive control and linear quadratic regulatory control, the proposed heterogeneous UAV cluster control system is simulated and analyzed.

Original languageEnglish
Title of host publicationProceedings - 2023 China Automation Congress, CAC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9079-9084
Number of pages6
ISBN (Electronic)9798350303759
DOIs
StatePublished - 2023
Event2023 China Automation Congress, CAC 2023 - Chongqing, China
Duration: 17 Nov 202319 Nov 2023

Publication series

NameProceedings - 2023 China Automation Congress, CAC 2023

Conference

Conference2023 China Automation Congress, CAC 2023
Country/TerritoryChina
CityChongqing
Period17/11/2319/11/23

Keywords

  • Consensus
  • Cooperative Control system
  • Distributed Adaptive algorithm
  • Heterogeneous system
  • unmanned system

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