UAV Formation Control Under Communication Constraints Based on Distributed Model Predictive Control

In this paper, an anti-disturbance control for UAVs formations in a three-dimensional environment using relative information is proposed. To accurately describe the UAV cluster motion error in a three-dimensional environment, an error estimation model based on the UAV model is established to realize the UAV state estimation based on relative information. The control law to achieve the stability of the UAV formation under bounded perturbation is also derived using the backstepping control strategy. Next, to realize that the UAV formation can achieve optimal control under performance constraints, an algorithm based on model predictive control is proposed, and an ant colony algorithm is used to accelerate the solution process. Then, the stability of the UAV formation under the action of this algorithm is investigated. Finally, the superiority and effectiveness of the algorithm compared with the traditional backstepping control method are verified through comparative simulations.