Open AccessDynamic event‐triggered cooperative formation control for UAVs subject to time‐varying disturbances
Author(s) -
Wei Lili,
Chen Mou,
Li Tao
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2020.0342
Subject(s) - control theory (sociology) , trajectory , computer science , observer (physics) , controller (irrigation) , linear matrix inequality , stability (learning theory) , control (management) , event (particle physics) , control engineering , engineering , mathematics , mathematical optimization , artificial intelligence , physics , astronomy , machine learning , agronomy , biology , quantum mechanics
The dynamic event‐triggered cooperative formation control problem for unmanned aerial vehicles (UAVs) subject to time‐varying disturbances is studied. A single UAV is described by a second‐order kinematical model and the desired formation is constructed by utilising the leader–follower framework, in which the leader UAV provides the desired trajectory for each follower. Unknown external disturbances are assumed to be composed of multiple frequency waves and appropriate disturbance observers are designed. A dynamic event‐triggered mechanism is proposed with its triggering threshold being dynamically adjustable rather than a fixed constant, which can reduce data transmissions more effectively and meanwhile avoid the Zeno behaviour. Then a distributed event‐triggered control scheme is developed for the UAV formation and two sufficient conditions on asymptotical stability of the resulting closed loop system are derived. Furthermore, controller gains, observer gains, and triggering parameters can be jointly obtained by solving the desired linear matrix inequality (LMI). Finally, a simulated example is given to illustrate the obtained results.