摘要
为解决目前的卫星定姿系统没有考虑实际工作状态的变化,即缺乏剔除污染数据的故障规避模块,并简单采用固定的融合方法对所得数据进行处理,脱离定姿环境的实际情况的问题,提出了一种基于NFE模型的智能融合算法.该算法引入波门预处理技术对污染数据进行有效剔除,然后通过NFE模型计算定姿系统置信度,根据不同的实际情况选择相应融合方法,以适应敏感器工作状态的变化,从而提高定姿精度.仿真结果表明,本定姿方法可以剔除实际定姿环境中因干扰引起的数据污染,并可根据实际工作状态变化智能选择相应的融合方法.在卫星定姿系统中加入本文提出的故障规避模块和智能选择模块,可以实现更高精度的卫星定姿.
To solve the problem that in the traditional satellite attitude determination system, the changes of conditions are unconsidered, viz. the traditional method lacks of module to eliminate the polluted data and applies a fixed method to process the data, an intelligent fusion scheme selection method is proposed based on NFE model. This method can eliminate the polluted data with wave gate, and compute the confidence of the attitude determination system by NFE model, and then select the matching fusion scheme according to actual situation to suit the practical attitude determination condition, which are verified by the computer stimulation results. So that it can be realized to get higher precision satellite attitude determination by using the fault avoidance module and the intelligent selection module.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2011年第3期23-28,共6页
Journal of Harbin Institute of Technology
