A UAV Formation Control Method Based on Sliding-Mode Control under Communication Constraints

Abstract

The problem of vision-based fixed-wing UAV formation control under communication limitations and the presence of measurement errors was investigated. In the first part of this paper, the single UAV motion model and the process of estimating the neighboring UAV states using the Extended Kalman Filter are introduced. The second part describes how we designed a sliding mode controller considering the sensor measurement errors and discusses the sufficient conditions for the stability and formation system in the presence of state transfer time delays in the formation. The main motivation of this paper was to develop a hierarchical, globally stable sliding mode controller that could enable the considered vision-based multiple fixed-wing UAVs to achieve and maintain formation in the presence of measurement errors. To this end, the selected problem was first transformed into a state-tracking problem for UAVs in the neighborhood, and then the stability criterion was established using the Lyapunov stability theory. Finally, the effectiveness of the proposed control method was illustrated using three numerical arithmetic examples.

Distributed Finite-Time ESO-Based Consensus Control for Multiple Fixed-Wing UAVs Subjected to External Disturbances

“…Estimating and rejecting disturbances or uncertainties for formation flying control of multiple UAVs has garnered considerable interest. For instance, disturbance observerbased control [15,16], sliding mode control [17,18], adaptive control [19], and intelligent control [20], as well as the references therein, have been explored. An adaptive leaderfollower formation control strategy has been exploited to address unknown disturbances, including model uncertainties and external wind disturbances [17].…”