No abstract

This paper proposes a novel active target tracking strategy for a team of cooperating quadrotors equipped with 3-D range-finding sensors. The work builds upon previous research of the authors, and adopts a realistic nonlinear dynamic model for the quadrotors. A hierarchical controller is designed for the generation and tracking of the desired optimal trajectories of the aerial vehicles, and a discrete-time Kalman filter is used for fusing their local estimates of the target position. Under suitable conditions, it is shown that the cost function for the D-optimality criterion that the quadrotors aim at collaboratively reduce, possesses a single global minimum and no local minima. Numerical simulations and real-world experiments show the effectiveness of the proposed control strategy.