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The article presents a hybrid onboard model for high-flow dual variable cycle engines utilizing deep reinforcement learning to enhance real-time performance and accuracy in engine control and fault diagnosis. It introduces a Component Level Model (CLM) and integrates the Twin Delayed Deep Deterministic (TD3) algorithm to improve simulation efficiency across various flight conditions. The proposed model demonstrates faster convergence and superior real-time capabilities, significantly reducing simulation ini

Author

slf710939

Language

EN