Adaptive Distributed Attitude Consensus of a Heterogeneous Multi-Agent Quadrotor System: Singular Perturbation Approach

Jing Xu, Yugang Niu, Hak-Keung Lam

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Abstract

Singular perturbations easily cause the problem of high gain control (HGC) of a multi-agent quadrotor system (MAQS), that easily excite hazardous high frequency oscillations in the system states. Without HGC, this work studies the distributed fixed-time attitude consensus control problem of multiple heterogeneous quadrotors in presence of <italic>unknown Lipschitz input disturbances and directed topology</italic>. First, the second order sliding mode, composed of consensus errors of &#x201C;slow&#x201D; Euler angles and &#x201C;fast&#x201D; angular velocities, is designed to be two-time-scale (TTS). Then, an adaptive super twisting controller is designed to produce an integrated slow-fast control structure, and adjust controller gains in different time scales with respect to the disturbance gradients. On this basis, an <inline-formula><tex-math notation="LaTeX">$\epsilon$</tex-math></inline-formula>-dependent Lyapunov framework is built for the MAQS on multiple time scales, which provide a rigorous theoretical basis for the fast and robust attitude consensus, and estimate the reaching time subject to singular perturbations. Simulation results on a heterogeneous MAQS consisting of four agents are provided to verify the effectiveness and efficiency of the proposed controller.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalIEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
DOIs
Publication statusPublished - 23 Mar 2023

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