Terminal Point Deviation-Involved Rapid Ascent Trajectory Planning for RBCC-Powered Aerospace Plane

This paper presents a rapid ascent trajectory planning method for a rocket-based combined-cycle powered aerospace plane subject to terminal point deviation caused by mission uncertainties. The main feature lies in that the proposed algorithm achieves rapid control updates and accurate trajectory tracking by incorporating the Legendre pseudospectral convex optimization and the improved model predictive static programming. Consequently, terminal point deviation and process inequality constraints a