Abstract
In this paper, cooperative attack control law analysis and design problems for unmanned aerial vehicle (UAV) swarm attack on ground-moving target with time-coordinated strategies are investigated. First, the time-coordinated control problem for a single UAV is formulated, which is the foundation of solving the problem of a single UAV arriving at the desired attack position relative to ground-moving target at a specific terminal time. Then, relative motion between each UAV and ground-moving target is considered as a finite-time time-varying tracking system problem, and the difference between expected output and system output is defined as tracking error vector. The control law is obtained by linear quadratic optimal control theory to minimize the energy cost in the whole process and the tracking error at the terminal time. Besides, time-coordinated function, which is critical to coordinate terminal time among all UAVs in the UAV swarm, is proposed to model time-coordinated strategies. Finally, numerical simulations show that the proposed control law can steer UAV swarm to arrive at the desired attack positions and achieve the time-coordinated strategies effectively.
Highlights
Through efficient coordination, unmanned aerial vehicle (UAV) swarm which is composed of many UAVs connected by communication network, can emerge much better performance than several independent individuals [1]
Hou et al.: Time-Coordinated Control for UAV Swarm Cooperative Attack on Ground-Moving Target time is designed as Estimated Time until Arrival (ETA) and cooperation function is solved by the ACO algorithm
Time-coordinated control problems for UAV swarm cooperative attack are investigated in this paper, where the target is moving on the ground
Summary
UAV swarm which is composed of many UAVs connected by communication network, can emerge much better performance than several independent individuals [1]. Y. Hou et al.: Time-Coordinated Control for UAV Swarm Cooperative Attack on Ground-Moving Target time is designed as Estimated Time until Arrival (ETA) and cooperation function is solved by the ACO algorithm. Cooperative attack on ground-moving targets can be considered as a formation control problem or optimal tracking problem [20] with terminal time constraint. This paper focuses on how to control each UAV in the UAV swarm to reach the desired attack position at a specified terminal time when the target is moving. The main contributions of this paper are summarized as follows: (i) Considering relative motion between each UAV and ground-moving target as a finite-time time-varying tracking system problem, the control law is obtained by optimal control theory.
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