Time-varying formation tracking control for UAV-UGV heterogeneous swarm systems with switching directed topologies

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

Abstract

This paper studies time-varying formation tracking control problems for UAV-UGV heterogeneous swarm systems. The UAVs and UGVs need to achieve the desired time-varying formation and track the reference trajectory of a leader synchronously under switching directed topologies. Firstly, the cooperative control model for UAV-UGV heterogeneous swarm system is established by using algebraic graph theory. Then, the formation tracking control protocol based on a distributed observer is designed and the convergence is proved by using piecewise Lyapunov theory. Furthermore, the feasible conditions to achieve the time-varying formation tracking are analyzed, and the algorithm to select the control parameters is proposed. Finally, a numerical simulation example is provided to demonstrate the effectiveness of the proposed control approach.

Original languageEnglish
Title of host publication2020 IEEE 16th International Conference on Control and Automation, ICCA 2020
PublisherIEEE Computer Society
Pages1068-1073
Number of pages6
ISBN (Electronic)9781728190938
DOIs
StatePublished - 9 Oct 2020
Event16th IEEE International Conference on Control and Automation, ICCA 2020 - Virtual, Sapporo, Hokkaido, Japan
Duration: 9 Oct 202011 Oct 2020

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2020-October
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference16th IEEE International Conference on Control and Automation, ICCA 2020
Country/TerritoryJapan
CityVirtual, Sapporo, Hokkaido
Period9/10/2011/10/20

Keywords

  • Formation tracking control
  • UAV-UGV heterogeneous swarm system
  • distributed observer
  • switching topologies

Fingerprint

Dive into the research topics of 'Time-varying formation tracking control for UAV-UGV heterogeneous swarm systems with switching directed topologies'. Together they form a unique fingerprint.

Cite this