Sensors, Vol. 23, Pages 7398: Multi-UAV Collaborative Search and Attack Mission Decision-Making in Unknown Environments

Sensors, Vol. 23, Pages 7398: Multi-UAV Collaborative Search and Attack Mission Decision-Making in Unknown Environments Sensors doi: 10.3390/s23177398 Authors: Zibin Liang Qing Li Guodong Fu To address the challenge of coordinated combat involving multiple UAVs in reconnaissance and search attacks, we propose the Multi-UAV Distributed Self-Organizing Cooperative Intelligence Surveillance and Combat (CISCS) strategy. This strategy employs distributed control to overcome issues associated with centralized control and communication difficulties. Additionally, it introduces a time-constrained formation controller to address the problem of unstable multi-UAV formations and lengthy formation times. Furthermore, a multi-task allocation algorithm is designed to tackle the issue of allocating multiple tasks to individual UAVs, enabling autonomous decision-making at the local level. The distributed self-organized multi-UAV cooperative reconnaissance and combat strategy consists of three main components. Firstly, a multi-UAV finite time formation controller allows for the rapid formation of a mission-specific formation in a finite period. Secondly, a multi-task goal assignment module generates a task sequence for each UAV, utilizing an improved distributed Ant Colony Optimization (ACO) algorithm based on Q-Learning. This module also incorporates a colony disorientation strategy to expand the search range and a search transition strategy to prevent premature convergence of th...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research