Optimal Tracking Guidance for Aeroassisted Spacecraft Reconnaissance Mission Based on Receding Horizon Control

摘要: This paper focuses on the application of model predictive control (MPC) for spacecraft trajectory tracking problems. The motivation use MPC, also known as receding horizon control, relies its ability in dealing with state, and path constraints that naturally arise practical planning Two different MPC schemes are constructed to solve reconnaissance problem. Since solves online optimal problems at each sampling instant, computational cost associated it can be high. In order decrease demand due optimization process, a newly proposed two-nested gradient method is used embedded two schemes. Simulation results provided illustrate effectiveness feasibility algorithms combined improved technique.