航天器热平衡温度预测的粒子群算法  

Particle Swarm Optimization Algorithm of Spacecraft Thermal Balance Test Temperature Prediction

作　　者：朱熙[1] 郭赣[1] 刘绍然[2] 刘波[1] 王晶[1] 

机构地区：[1]北京卫星环境工程研究所,北京100094 [2]中国空间技术研究院通信卫星事业部,北京100094

出　　处：《宇航学报》2016年第11期1378-1383,共6页Journal of Astronautics

基　　金：国家自然科学基金(51506009)

摘　　要：为解决航天器热平衡试验温度外推预测方法中存在的问题,提出了热平衡温度预测的粒子群优化算法。根据热平衡温度模型,建立待优化的目标函数以及热平衡温度粒子群算法的计算流程。依据某型号卫星热平衡试验的前期温度数据,对热平衡极限温度以及瞬时温度进行预测,并与实测数据进行了比对。计算结果与实测数据相比具有较好的一致性,所提出的方法可有效地应用于航天器热平衡试验温度预测。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.

关 键 词：粒子群算法 热平衡试验 温度预测 航天器 

分 类 号：V416.4[航空宇航科学与技术—航空宇航推进理论与工程] TP18[自动化与计算机技术—控制理论与控制工程]