空间科学学报2012，Vol.32Issue(6)：855-861,7.
飞轮扰动经验模型参数的识别与改进
Parameter Identification and Improvement in Empirical Model of Flywheel Disturbance
摘要
Abstract
It is a basic and key technology for high stability and high resolution optical satellite to identify the parameter of flywheel disturbance model accurately. There are two main disturbance models of the flywheel, i.e., empirical model and analytical model. The parameters that need to be identified in empirical model are harmonic numbers and amplitude coefficients. The effects of truncation of the time domain are neglected in traditional parameter identification method when calculating the amplitude coefficients, while the errors of the coefficients are not small sometimes, which can lead to uncertainty to the high frequency jitter response analyses. In order to improve the accuracy and reliability of the disturbance model, this paper presents windowing method and related recovery technique in frequency domain. From the result of simulation, it can be seen that this method improves the accuracy of the parameter significantly.关键词
飞轮扰动/参数识别/时域截断/窗函数法Key words
Flywheel disturbance/Parameter identification/Truncation/Windowing method分类
航空航天引用本文复制引用
朱敏,张永合,尹增山..飞轮扰动经验模型参数的识别与改进[J].空间科学学报,2012,32(6):855-861,7.基金项目
国家高技术研究发展计划项目资助 （）
