Research On Health Management Platform Based On Satellite Component Life Prediction

With the continuous development of space satellite technology,satellites are used more and more widely,some equipped with photographic equipment,used to take pictures of the ground,survey resources,monitor the Earth’s climate,etc.;some equipped with astronomical observation equipment,used for astronomical observation;some equipped with communication equipment,used to relay radio,television,data communications,telephone and other communication signals;some equipped with scientific research equipment,can be used for scientific research.Satellites provide strong support and assistance to national defense,national security and other fields,but the satellite for a long time in the thermal vacuum,electromagnetic strong radiation and other complex space environment,with the passage of time,the performance of satellite components will gradually old,degradation,which will lead to various failures of satellite components.Therefore,the satellite failure prediction and health management system has become a key link to ensure the normal operation of the satellite.This paper introduces the composition and workflow of the ground-operated satellite semi-physical simulation platform and its working principle,including the composition of the hardware and the software environment.Traditional particle swarm algorithm is a typical population intelligence optimization algorithm,the process is simple and easy to implement,the algorithm parameters are simple,no complex adjustment.Therefore,in this paper,a new clustering algorithm is designed by combining the traditional particle swarm algorithm,which improves the performance of the network and substantially increases the accuracy of fault diagnosis.In this paper,we inject faults into satellite components in the simulation of satellite semi-physical platform and analyze the effect of faults on satellite components.Meanwhile,according to different failure types of satellite components,simulated failure injection is performed in the satellite semi-physical simulation platform to obtain data sets,which are combined with the optimized particle swarm algorithm to realize the management and life prediction of the working status of satellite components.