Cooperative task assignment for UAV based on SA-QCDPSO

Collaborative task assignment is the basis for coordinated control of multi-UAV. This paper takes multi-UAV cooperative ground reconnaissance-attack as the background. Firstly, it analyzes the key factors that affect cooperative task assignment, and establishes a comprehensive evaluation index system for multi-UAV collaborative task assignment. Second, it builds a hybrid algorithm based on the PSO framework. Under the dynamic topology, strategies such as adaptive learning factors and random factor are introduced, and the simulated annealing mechanism is introduced to balance the convergence speed of the algorithm and the global optimal search performance. Finally, the performance analysis of the algorithm was completed by constructing a simulation example of a cooperative ground-to-ground operation for multi-UAV, and the effectiveness of the algorithm model to solve the task assignment problem was verified.