Application of Dynamic Programming Technique to Reliability Model in Space Mission

Abstract

The research demonstrates how dynamic programming can be used to improve the reliability of space mission systems. Spacecraft systems require traditional reliability models to operate because their multiple interdependent subsystems face three strict boundaries of cost, weight and power. This method helps the system in modelling as a multistage decision process, applying optimal redundancy at each stage and maximizing the mission success probability. In this paper the recursive relation method is applied to determine the most efficient subsystem configuration based on available resources. A numerical example demonstrates how effective the technique functions. The study concludes that dynamic programming provides a systematic and efficient framework for enhancing reliability in complex, high-risk space missions.