Design of Predictor-Corrector Guidance Law for High-speed Vehicle based on DDPG
Aiming at the multi-constraint and strongly time-varying problems of high-speed aircraft during re-entry gliding,this paper combines the online autonomous decision-making advantages of the Deep Deter-ministic Policy Gradient(DDPG)algorithm to generate avoidance strategies in real time based on threat zone information for dynamic no-fly zone avoidance trajectory planning.In order to further enhance the an-ti-interference ability of high-speed aircraft to environmental uncertainties,a set of route feature points is se-lected based on the avoidance trajectory,and a online predictor-corrector guidance method is used to correct the flight status of the high-speed aircraft in real time according to flight mission requirements and terminal constraints,and finally achieve precise guidance of high-speed aircraft.At the same time,in order to verify the effectiveness of the method,this paper carried out corresponding numerical simulation analysis.The re-sults show that the method proposed in this paper can effectively avoid no-fly zones and enhance the adapta-bility to uncertain factors,and has certain engineering application value.
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