A method of cooperative engagement control for attack uninhabited air vehicles

The cooperative engagement control in the process of acquisition, identification and attack for attack uninhabited air vehicles (AUAVs) was explored. The cooperative search programming model for multiple AUAVs was established by the "rate of return" maps on the basis of analyzing typical operation situation, utilizing search theory and probability method. The probability of correct target identification at various aspect angles was improved by the cooperative identification to the target. A false classification matrix was used to represent the probability of incorrectly identifying nontarget as target. The numbers of killing targets and attacking false targets in cooperative and non-cooperative control strategies were simulated by different thresholds the probability of correct target identification and killing. The simulation results show that cooperative behavior significantly decreases the number of false target attack by almost 90%, and does not improve the number of targets killed compared to non-cooperative behavior. The cooperative control allows for near optimal solution of the correlative behavior of a group of AUAVs in battle field, which can greatly improve the mission performance.