Optimized Trajectory Replanning for Mars Ascent Vehicle under Propulsion System Faults using a Suboptimal Learning-based Approach

A suboptimal joint trajectory replanning (SJTR) method is proposed to efficiently solve the problem of optimizing the target orbit and flight trajectory for a Mars ascent vehicle after encountering a thrust drop fault, by incorporating penalty coefficients for terminal constraints and utilizing a learning-based warm-start scheme.