07 - Systems, Subsystems and Equipment

INTEGRATED CONTROL STRATEGY BASED ON PHYSICS-INFORMED MODEL-BASED REINFORCEMENT LEARNING FOR AIRBORNE HIGH-ENERGY SYSTEMS

S. Bai¹, Y. Li¹, L. Jiang¹, Z. Li¹, K. He¹, Z. Jiao¹; ¹Beihang University, China

Airborne laser weapons (ALW) face thermal constraints and lack of combat strategy research. This study proposes a physics-informed model-based reinforcement learning control strategy, integrating energy-thermal states into a hierarchical RL framework for unified flight-fire control. Validated in missile combat scenarios, the strategy enhances ALW survivability and effectiveness, supporting operational deployment and evaluation.

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DOI: 10.71945/icas2026_0621