Journal of Astronautics ›› 2016, Vol. 37 ›› Issue (11): 1378-1383.doi: 10.3873/j.issn.1000-1328.2016.11.013

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Particle Swarm Optimization Algorithm of Spacecraft Thermal Balance Test Temperature Prediction

ZHU Xi, GUO Gan, LIU Shao ran, LIU Bo, WANG Jing   

  1. 1. Beijing Institute of Spacecraft Environment Engineering, Beijing 100094, China;
    2. Institute of Telecommunication Satellite, China Academy of Space Technology, Beijing 100094, China
  • Received:2016-03-25 Revised:2016-05-20 Online:2016-11-15 Published:2016-11-25


In order to solve the problems of temperature prediction concerned with the spacecraft thermal balance test, a particle swarm optimization algorithm of temperature prediction is proposed in this paper. According to the thermal balance temperature model, the objective function to be optimized and the temperature calculation process of thermal balance based on particle swarm optimization is established. Based on the prophase temperature data of a spacecraft thermal balance test, the thermal balance stable temperature and transient temperature are predicted. By comparison, the error between the predicted data and the measured data are very little and acceptable. The results show that the proposed method can be effectively applied to temperature prediction of spacecraft thermal balance test.

Key words: Particle swarm optimization, Thermal balance test, Temperature prediction, Spacecraft

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