Exponent及Gauss型遥测数据建模初始化算法

Telemetric Data Modeling and Its Parameters Initial Algorithm of Exponent and Gauss Model

摘要:

在对某大型航天电子设备的遥测数据建模时,经常遇到含有指数类变化规律的数据,对其进行建模可以为研究设备性能的变化规律、实际与设计的差异等提供手段。针对有指数变化趋势的遥测数据,采用 Exponent模型、 Gauss模型对遥测数据建模,给出了这种数据模型的表达式,研究了 2种模型的参数初始化算法。通过数值实验说明模型参数初始化算法的有效性,为后续利用最优化理论求解模型精确参数提供了良好的初试点。

Abstract:

The telemety data of the large-scale spaceflight electronic equipment usually appears the similarly exponentstyle change. The performance abnormity and the different between the practice and the designed would be discovered ear.ly through modeling on these data. In order to modeling the exponent style telemety data, the two models of Exponent andGauss were introduced. The formula of the two mathematic models were put forward. Then the initial algorithms for the pa.rameters of these models were researched. Lastly the numerical experiments results showed the validity of these initial pa.rameters algorithms, which afforded the favorable initial starts points for the subsequent optimization theory to compute theaccurate model parameters.