Aiming at the decision-making problem of UCAV autonomous maneuvering in close range one-to-one scenarios, a close range UCAV autonomous maneuvering decision-making algorithm based on expert know-ledge base and matrix game method is proposed, which can conduct real-time situational analysis and maneuver decision-making in one-to-one close range air combat to achieve victory. This algorithm constructs the launching mechanism of UCAV autonomous air combat based on tactical library, builds the dynamics model of fighter and missile, and builds the situation evaluation function based on typical air combat factors and missile attack area analysis. Further combining the situation evaluation function based on missile attack area with matrix game theory, a set of autonomous air combat decision model is constructed. On this basis, the algorithm is used for game confrontation simulation on both sides of UCAV in typical scenarios. Multiple sets of simulation results showed that the algorithm can effectively conduct real-time maneuvering decision-making game confrontation, and the single step decision-making time of a single machine can be maintained within 80 ms.


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    Title :

    A Decision Method for Autonomous Maneuver in Close Range Air Combat Based on Matrix Game Theory




    Publication date :

    2023




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown






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