中国航空学报(英文版)2024,Vol.37Issue(12) :458-483.DOI:10.1016/j.cja.2024.05.035

Distributed event-triggered formation control of UGV-UAV heterogeneous multi-agent systems for ground-air cooperation

Hao XIONG Hongbin DENG Chaoyang LIU Junqi WU
中国航空学报(英文版)2024,Vol.37Issue(12) :458-483.DOI:10.1016/j.cja.2024.05.035

Distributed event-triggered formation control of UGV-UAV heterogeneous multi-agent systems for ground-air cooperation

Hao XIONG 1Hongbin DENG 1Chaoyang LIU 2Junqi WU1
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作者信息

  • 1. School of Mechanical and Electrical Engineering,Beijing Institute of Technology,Beijing,100081,China
  • 2. Unit 32180,Chinese People's Liberation Army,Beijing 100081,China
  • 折叠

Abstract

Within the context of ground-air cooperation,the distributed formation trajectory track-ing control problems for the Heterogeneous Multi-Agent Systems(HMASs)is studied.First,con-sidering external disturbances and model uncertainties,a graph theory-based formation control protocol is designed for the HMASs consisting of Unmanned Aerial Vehicles(UAVs)and Unmanned Ground Vehicles(UGVs).Subsequently,a formation trajectory tracking control strat-egy employing adaptive Fractional-Order Sliding Mode Control(FOSMC)method is developed,and a Feedback Multilayer Fuzzy Neural Network(FMFNN)is introduced to estimate the lumped uncertainties.This approach empowers HMASs to adaptively follow the expected trajectory and adopt the designated formation configuration,even in the presence of various uncertainties.Addi-tionally,an event-triggered mechanism is incorporated into the controller to reduce the update fre-quency of the controller and minimize the communication exchange among the agents,and the absence of Zeno behavior is rigorously demonstrated by an integral inequality analysis.Finally,to confirm the effectiveness of the proposed formation control protocol,some numerical simula-tions are presented.

Key words

Distributed formation con-trol/Event-triggered control/Heterogeneous multi-agent systems/Fractional-order sliding mode control/Feedback multilayer fuzzy neural network

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出版年

2024
中国航空学报(英文版)
中国航空学会

中国航空学报(英文版)

CSTPCDEI
影响因子:0.847
ISSN:1000-9361
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