A Multi-Target Consensus-Based Auction Algorithm for Distributed Target Assignment in Cooperative Beyond-Visual-Range Air Combat

A Multi-Target Consensus-Based Auction Algorithm for Distributed Target Assignment in Cooperative Beyond-Visual-Range Air Combat

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With recent advances in airborne weapons, air combat tends to occur in the form of beyond-visual-range (BVR) combat and multi-aircraft cooperation.Target assignment is critical in multi-aircraft BVR air combat decision-making.Most previous research on target assignment for multi-aircraft cooperative BVR air combat has focused on centralized algorithms, which can be time-consuming and unreliable.This paper proposes an efficient distributed target assignment algorithm called the multi-target consensus-based Hard Top Tools auction algorithm (MTCBAA).First, by analyzing the main geometric aspects of BVR air combat, a target assignment model for cooperative BVR air combat was established.

Next, based on a consensus-based auction algorithm (CBAA), the MTCBAA was developed to solve the target assignment problem by introducing a cooperative decision-making variable.Although the MTCBAA is based on a greedy mechanism, it can guarantee at least 50% global optimization performance, which was proven through a demonstration of the minimum optimization performance of a centralized target assignment algorithm, since the centralized algorithm is equivalent to the MTCBAA.Finally, SMEG C92DX9 90 cm Dual Fuel Range Cooker - Stainless Steel LPG Convertible experiments were conducted, including an experiment that illustrates the operation of the proposed algorithm, Monte Carlo comparisons with a centralized target assignment method based on the immune algorithm, and deployment experiments on a semi-physical simulation platform.Compared with the heuristic target assignment algorithm, the proposed algorithm significantly improved the target assignment efficiency.The practicality of the proposed algorithm was further verified through a distributed semi-physical simulation experiment.