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基于蒙特卡罗混合算法对地面试验状态下的一颗模拟热控星的热模型的修正进行了研究.首先对热模型不确定参数进行了敏感性分析,得到了卫星热控条件下的全局变量和局部变量;进而将模型修正问题看作参数优化问题,利用分层修正方法,采用蒙特卡罗混合算法求解优化问题完成了热模型的修正.结果显示,多层当量发射率和涂层发射率是影响整星温度的全局变量,而接触换热系数是局部变量;修正后的热模型计算温度与试验温度的偏差全部在±3℃以内,证明该方法优于传统方法,完全满足卫星热模型修正的要求.
Based on Monte Carlo hybrid algorithm, the thermal model correction of a simulated thermal-controlled star in the ground test condition is studied.Firstly, the sensitivity analysis of the uncertain parameters of the thermal model is carried out, and the global variables And local variables. Then, the model correction problem is considered as a parameter optimization problem. The Monte Carlo method is used to solve the optimization problem by using the stratified correction method and the thermal model is modified. The results show that the multi-layer equivalent emissivity and the coating emissivity Is the global variable that affects the temperature of the whole satellite, and the contact heat transfer coefficient is a local variable. The deviation between the calculated temperature and the test temperature is all within ± 3 ℃, which proves that this method is superior to the traditional method and fully satisfies the satellite thermal model Revised requirements.