The smart ammunition formation (SAF) system model usually has the characteristics of complexity, time variation, and nonlinearity. With the consideration of random factors, such as sensor error and environmental disturbance, the system model cannot be modeled accurately. To deal with this problem, this paper investigated an intelligent deep Q -network- (DQN-) based control algorithm for the SAF collaborative control, which deals with the high dynamics and uncertainty in the SAF flight environment. In the environment description of the SAF, we built a dynamic model to represent the system joint states, which referred to the smart ammunition’s velocity, the trajectory inclination angle, the ballistic deflection angle, and the relative position between different formation nodes. Next, we describe the SAF collaborative control process as a Markov decision process (MDP) with the application of the reinforcement learning (RL) technique. Then, the basic framework ε -imitation action-selecting strategy and the algorithm details were developed to address the SAF control problem based on the DQN scheme. Finally, the numerical simulation was carried out to verify the effectiveness and portability of the DQN-based algorithm. The average total reward curve showed a reasonable convergence, and the relative kinematic relationship among the formation nodes met the requirements of the controller design. It illustrated that the DQN-based algorithm obtained a novel performance in the SAF collaborative control.
With the increasingly complex combat environment and the diversity of combat tasks, important military targets are surrounded by multi-layer defense. Modern information warfare pays more attention to system confrontation and multi-system cooperative operations,and missile formation to attack targets is the main research content of this paper. For missile wing ideal trajectory generation problems, ensure the attack Angle of time and meet the design requirements, Gaussian pseudo-spectral method is used to generate guarantee missile attacks within the specified time shot on target, at the same time meet the attack Angle constraint at the end of the ideal trajectory, the more missiles cooperative engagement problems into the ideal trajectory tracking problem, avoid the estimate of the remaining time of flight.The main contents of this paper are as follows:(1) Gaussian pseudo-spectral method is used to generate the ideal trajectory model.(2)Use Matlab to simulate the established model.
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