An algorithm for conducting UAVs´ dependability & self-recovery system

For the purpose of improving weapon effectiveness evaluation, this research uses system dynamic as the model. The simulation scenario was developed by combining the reconnaissance aircrafts and attack fighters in terms of joint operations, establishing subsystems of dependability, self-recovery, and reconnaissance. In addition, the swarm Unmanned Aerial Vehicles (UAV) system effectiveness assessment model was integrated with those subsystems to simulate the UAV flight mission in order to identify the impacts and correlations within the mission execution process and to analyze the swarm UAV system combat effectiveness. Simulation results have found: Firstly, by using the System Dynamic to set up swarm UAV combat effectiveness has made interactive impacts on evaluation model. Secondly, the interrelation of each effectiveness indicator change within the operational phases can be analyzed. Thirdly, the swarm intelligence has made a positive impact on UAV effectiveness outputs in which the problems of less UAV can be resolved by the self-recovery while the numbers of UAV is reduced. Finally, the joint operation can depend on various weapon characteristics to improve combat effectiveness. However, the joint operation is complex which requires systematic aspects to analyze the interaction of every effectiveness indicators.