航天器热平衡温度预测的粒子群算法

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。

Particle Swarm Optimization Algorithm of Spacecraft Thermal Balance Test Temperature Prediction

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.