Aircraft Spin Recovery Technique Based on Deep Reinforcement Learning
This paper builds an aircraft simulation environment,and establishes a test model of an automated spin recovery algorithm based on proximal policy optimization(PPO)algorithm.Four kinds of network structures are de-signed,that are basis single stage,basis double stage,deep single stage and deep double stage,to explore the influ-ence of network structure and recovery stage on spin recovery effect.A robustness test experiment is set up,and the al-gorithm is tested and the results are analyzed from the aspects of delay,error and height.
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