Intelligent optimization of RLV pre-final phase trajectory

Reusable launch vehicle (RLV) trajectory optimization of terminal area energy management (TAEM) phase is a multiple constrained optimal control problem. In order to achieve the RLV auto-landing window requirements, a new intelligent optimization method based on the flight corridor formed from altitude versus acceleration plane for RLV pre-final phase is presented. This research establishes three-degree-of-freedom (3DOF) point-mass dynamics of RLV based on optimal control theory. By considering the initial constraints, terminal constraints and path constraints etc., the guidance law is derived by using improved genetic algorithm (GA) in flight corridor with assuming the bank angle is zero. To test the capacity of the new intelligent guidance law, simulation data of different terminal conditions are compared. Simulation results indicate that the new intelligent guidance law satisfies specified constraints. The results reflect strong robustness and precision.