Prescribed‐Time Attitude Bipartite Consensus Tracking Control for Multi‐UAV Systems

ABSTRACT

This article focuses on the prescribed-time attitude bipartite consensus tracking control problem of multi-unmanned aerial vehicle (UAV) systems under directed graphs. Currently, in the field of bipartite consensus tracking control, algorithms based on finite-time stability and fixed-time stability have been developed. However, existing schemes exhibit significant limitations: finite-time stability algorithms rely on the system’s initial states for convergence time, resulting in insufficient temporal controllability. Fixed-time stability algorithms involve complex coupling among convergence time, system parameters, and control gains, which prevents arbitrary presetting of the convergence moment. This paper introduces the prescribed-time stability theory, whose core advantage is the ability to preset the convergence time. To achieve this goal, a novel hybrid distributed observer is first designed to ensure accurate estimation of the leader’s states within the prescribed-time. Based on the observer output, a prescribed-time sliding mode surface (SMS) and the corresponding tracking control law are constructed to drive the multi-UAV system to achieve attitude bipartite consensus tracking within the prescribed-time. The proposed scheme not only guarantees the tracking performance within the prescribed time but also avoids the numerical implementation challenges caused by infinite time-varying gains in traditional prescribed-time control. Finally, the effectiveness and feasibility of the proposed method are verified through rigorous theoretical analysis and multiple sets of numerical simulations.

​International Journal of Robust and Nonlinear Control, EarlyView. Read More

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