Adaptive attack occupancy maneuver decision of UUV attack-defense game

The existing methods for the decision-making of unmanned underwater vehicle (UUV) occupancy in attack-defense games are found to be insufficient and incomplete in addressing practical occupancy attack problems. This study analyzes and establishes a mathematical model for attack occupancy maneuvers, proposes the use of vector analysis to determine the UUV’s maximum range circle and the attackable area, develops the concept of occupancy determination rules, and comprehensively analyzes the methods for solving the shortest time attack occupancy maneuvers under different speed conditions with or without obstacles. Additionally, a parameter-adaptive occupancy maneuver decision-making method is proposed to address the issue of target motion state changes. This decision-making method can adapt to the changes in the target’s position, heading, and speed parameters, autonomously select the nearest reachable occupancy point, and solve for the maneuver parameters to reach that point. Simulation results validate the effectiveness and efficiency of the occupancy attack determination rules and the maneuver decision-making methods, as well as the parameter adaptability of the proposed approach in dynamic attack-defense games. © 2024 Northeast University. All rights reserved.