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This article investigates the problem of designing a novel maneuvering decision-making method for the unmanned combat aerial vehicle. The design objective is to promote the real-time ability of decision-making method and solve the problem of uncertainty caused by incomplete target information. On the basis of statistics theory, a robust maneuvering decision method with self-adaptive target intention prediction is proposed. The robustness design is embedded in the membership function of the situation parameters. The reachable set theory and adaptive adjustment mechanism of the target state weight are used in the target intention prediction to promote the real-time ability. Simulations are conducted under the condition that the enemy aircraft perform both non-maneuvering and combat maneuvering. The results verify the good properties of the decision-making method, which can extend the survival time of the unmanned combat aerial vehicle when the enemy aircraft attacks, and short the taking position and attack time of the unmanned combat aerial vehicle when the enemy aircraft evades.

Research on unmanned combat aerial vehicle robust maneuvering decision under incomplete target information